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id name type
7C7CAEED On rank correlation in information retrieval evaluation paper
7AEE29E3 The Voting Model for People Search paper
7D68490B Document clustering with committees paper
7A488256 A comparison of indexing techniques for Japanese text retrieval paper
7D5CD2DF Feature selection for ranking paper
7646C4F7 Learning to advertise paper
7CF9B0DC Personalized tag recommendation using graph-based ranking on multi-type interrelated objects paper
78D3F0A3 Term relevance feedback and query expansion: relation to design paper
7C55ADC9 A sequential algorithm for training text classifiers paper
7F9C2FCD Document clustering via adaptive subspace iteration paper
7B1F8566 Personalized active learning for collaborative filtering paper
75365F6D Iterative translation disambiguation for cross-language information retrieval paper
7B15399A On-line new event detection and tracking paper
7A3CEE9A Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization paper
7B35DF6E Robust temporal and spectral modeling for query By melody paper
7D322466 A study of methods for negative relevance feedback paper
7F4D016F Global ranking by exploiting user clicks paper
78240F38 Using statistical testing in the evaluation of retrieval experiments paper
7B6CCC91 Self-taught hashing for fast similarity search paper
7ED831FE Large scale semi-supervised linear SVMs paper
7D693F66 Selecting good expansion terms for pseudo-relevance feedback paper
762040FD Novelty and redundancy detection in adaptive filtering paper
7518DA52 A similarity-based probability model for latent semantic indexing paper
7AD389CE On feature distributional clustering for text categorization paper
7A6D1235 Short text classification in twitter to improve information filtering paper
7D17A093 Named entity recognition in query paper
76FDA1E2 The automatic construction of large-scale corpora for summarization research paper
7B4696F8 Ranking community answers by modeling question-answer relationships via analogical reasoning paper
79E8F68A Development of a modern OPAC: from REVTOLC to MARIAN paper
7B3F25FB Comparing interactive information retrieval systems across sites: the TREC-6 interactive track matrix experiment paper
7D613389 An effective approach to document retrieval via utilizing WordNet and recognizing phrases paper
79E0597E A belief network model for IR paper
80BA211F An interactive algorithm for asking and incorporating feature feedback into support vector machines paper
7BDBE804 Cross-document summarization by concept classification paper
7C9725E8 Predicting category accesses for a user in a structured information space paper
7B0F0125 Distributional clustering of words for text classification paper
7B50FC31 Document language models, query models, and risk minimization for information retrieval paper
7ECC05A5 An automatic weighting scheme for collaborative filtering paper
7B9EE6D7 Bead: explorations in information visualization paper
7DD09999 Query dependent ranking using K-nearest neighbor paper
7F3D3128 EigenRank: a ranking-oriented approach to collaborative filtering paper
7A66FCCB Topic segmentation with an aspect hidden Markov model paper
7C0872C0 Automatic metadata generation & evaluation paper
79C56783 LDA-based document models for ad-hoc retrieval paper
7DBD47ED Term selection for searching printed Arabic paper
80D09177 Predicting information seeker satisfaction in community question answering paper
77EE3DFB Improving text categorization methods for event tracking paper
7F495E20 Question answering passage retrieval using dependency relations paper
7FB4861E AdaRank: a boosting algorithm for information retrieval paper
7F230A0D Probabilistic combination of text classifiers using reliability indicators: models and results paper
753B8644 A new rank correlation coefficient for information retrieval paper
7D1A4F7E Robust classification of rare queries using web knowledge paper
757887DB Tackling concept drift by temporal inductive transfer paper
7C792585 Clustering short texts using wikipedia paper
7B869D82 A probabilistic relational model for the integration of IR and databases paper
77D6F439 Context-sensitive semantic smoothing for the language modeling approach to genomic IR paper
7E08E4CD Better than the real thing?: iterative pseudo-query processing using cluster-based language models paper
786D044A Building implicit links from content for forum search paper
790AF21A Linear discriminant model for information retrieval paper
7BA8A899 Bayesian online classifiers for text classification and filtering paper
762787B5 Feature engineering for mobile (SMS) spam filtering paper
76D49856 Robustness of regularized linear classification methods in text categorization paper
78649A31 Active learning for class imbalance problem paper
7B6DB2E1 Collaborative filtering with privacy via factor analysis paper
77D4A6C4 Unsupervised document classification using sequential information maximization paper
7B64A0AB Extending average precision to graded relevance judgments paper
7CE9AA98 "On the collective classification of email ""speech acts""" paper
7C318F32 A user-centred evaluation of ranking algorithms for interactive query expansion paper
766EB39C GaP: a factor model for discrete data paper
774B1D6E Regularized clustering for documents paper
7EF446BE Personalized recommendation driven by information flow paper
78F88FC8 An improved markov random field model for supporting verbose queries paper
7AFCF36A On an equivalence between PLSI and LDA paper
75AB4C29 Learning to rank with SoftRank and Gaussian processes paper
7549BAB0 Impedance coupling in content-targeted advertising paper
7848A468 A model of information retrieval based on a terminological logic paper
78B87EAD Discovering key concepts in verbose queries paper
7B3B1FAC Automatic evaluation of world wide web search services paper
793EF8EC A statistical learning learning model of text classification for support vector machines paper
77D63394 Constructing informative prior distributions from domain knowledge in text classification paper
77422F39 Automatic web query classification using labeled and unlabeled training data paper
7F323E4F Towards musical query-by-semantic-description using the CAL500 data set paper
7C4CFB31 Learning to rank at query-time using association rules paper
7FBE07E1 On the local optimality of LambdaRank paper
8132EDEF The wisdom of the few: a collaborative filtering approach based on expert opinions from the web paper
8096B9A8 Enhancing text clustering by leveraging Wikipedia semantics paper
78878051 Phonetic confusion matrix based spoken document retrieval paper
75A02708 Reducing long queries using query quality predictors paper
754BE1D0 The effect multiple query representations on information retrieval system performance paper
75695BC8 Latent semantic indexing is an optimal special case of multidimensional scaling paper
801985B8 Studying the use of popular destinations to enhance web search interaction paper
7D807FD5 Refined experts: improving classification in large taxonomies paper
7DC03A9C Locality preserving indexing for document representation paper
79B04EB3 Relaxed online SVMs for spam filtering paper
804B5947 Bayesian extension to the language model for ad hoc information retrieval paper
7BBA4F8C Analysis of a low-dimensional linear model under recommendation attacks paper
7DBCD42C The use of unlabeled data to improve supervised learning for text summarization paper
769E8B85 Relevance and contributing information types of searched documents in task performance paper
8040DD14 Learning effective ranking functions for newsgroup search paper
5F0E68AD Hierarchical neural networks for text categorization paper
753B0371 Temporal collaborative filtering with adaptive neighbourhoods paper
7DC10A63 SpotSigs: robust and efficient near duplicate detection in large web collections paper
7CFA0F26 Effective missing data prediction for collaborative filtering paper
7993E3BE Automatic image annotation by using concept-sensitive salient objects for image content representation paper
7C523A12 Results of applying probabilistic IR to OCR text paper
7AB99336 A comparison of classifiers and document representations for the routing problem paper
7A27208B Improving text retrieval for the routing problem using latent semantic indexing paper
7889A2C5 Orthogonal locality preserving indexing paper
770D962D ICA and SOM in text document analysis paper
78CE47C4 A user browsing model to predict search engine click data from past observations. paper
7B337E8B The decomposition of human-written summary sentences paper
7FDB9438 A browser for bibliographic information retrieval, based on an application of lattice theory paper
7C02181E Efficient bayesian hierarchical user modeling for recommendation system paper
798E5678 A probabilistic graphical model for joint answer ranking in question answering paper
7FF02B6C Extracting structured information from user queries with semi-supervised conditional random fields paper
7A074A4D Analyzing feature trajectories for event detection paper
7A78A07C User adaptation: good results from poor systems paper
78EC631B Domain-independent text segmentation using anisotropic diffusion and dynamic programming paper
7F6C8F0D Document clustering with prior knowledge paper
7996EB5E Effective document presentation with a locality-based similarity heuristic paper
8130637C A regression framework for learning ranking functions using relative relevance judgments paper
7EADEC8F Learning from labeled features using generalized expectation criteria paper
7EB0740B Text classification with kernels on the multinomial manifold paper
7CBBFBF4 Social media recommendation based on people and tags paper
7BDE0134 Computation of term associations by a neural network paper
768042B4 Learning to rank query reformulations paper
788FA378 Towards language independent automated learning of text categorization models paper
7ECA2159 A support vector method for optimizing average precision paper
7E6BF6D8 A database centric view of semantic image annotation and retrieval paper
7C9B715B Probabilistic latent query analysis for combining multiple retrieval sources paper
7D43B6D6 Ranking with multiple hyperplanes paper
7A323EFE Exploiting ontologies for automatic image annotation paper
7AF59493 Automatic essay grading using text categorization techniques paper
7CFD178A A unified and discriminative model for query refinement paper
7D272163 Reading time, scrolling and interaction: exploring implicit sources of user preferences for relevance feedback paper
7AB8447A Evaluating evaluation metrics based on the bootstrap paper
7B20680E Simplified similarity scoring using term ranks paper
7C8994A9 Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization paper
7EA5DD49 A case-based approach to intelligent information retrieval paper
76A69BB9 Jester 2.0 (poster abstract): evaluation of an new linear time collaborative filtering algorithm paper
7DCAC7DD Learning to cluster web search results paper
76645F38 Predicting the performance of linearly combined IR systems paper
7722ED46 Vertical selection in the presence of unlabeled verticals paper
7DBE5DB3 Beyond independent relevance: methods and evaluation metrics for subtopic retrieval paper
7C47E47F Evaluating a probabilistic model for cross-lingual information retrieval paper
8051956C User modeling for full-text federated search in peer-to-peer networks paper
7ABA248D Hierarchical neural networks for text categorization (poster abstract) paper
7F8DBD08 Generic soft pattern models for definitional question answering paper
7ACC689A Training algorithms for linear text classifiers paper
7B9A7E21 Evaluating evaluation measure stability paper
7868D94E Dynamicity vs. effectiveness: studying online clustering for scatter/gather paper
7B31E378 Evaluating high accuracy retrieval techniques paper
7FA844BE Text categorization by boosting automatically extracted concepts paper
7EF01968 Hidden Markov models for automatic annotation and content-based retrieval of images and video paper
7DD1A5C9 Using bayesian priors to combine classifiers for adaptive filtering paper
79CA2BA6 A parallel derivation of probabilistic information retrieval models paper
7DC501D5 On scaling latent semantic indexing for large peer-to-peer systems paper
799D1559 Inferring probability of relevance using the method of logistic regression paper
758CBA13 A collaborative filtering algorithm and evaluation metric that accurately model the user experience paper
75349D25 Building a test collection for complex document information processing paper
78118BFA Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval paper
76A00DCE Properties of extended Boolean models in information retrieval paper
7A50630F Regularized estimation of mixture models for robust pseudo-relevance feedback paper
81724478 Directly optimizing evaluation measures in learning to rank paper
78517A5C Collaborative filtering via gaussian probabilistic latent semantic analysis paper
7F856B50 Context-aware ranking in web search paper
7A579E9D Using the cosine measure in a neural network for document retrieval paper
7D750A56 On rank correlation and the distance between rankings paper
7EAF03D4 Adapting ranking SVM to document retrieval paper
778850EB A re-examination of text categorization methods paper
7CC3FECE Learning to recommend with social trust ensemble paper
7677E142 Efficient distributed algorithms to build inverted files paper
7720A0BB A study on thresholding strategies for text catego-rization paper
7F54207B Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web paper
76368B1A ARSA: a sentiment-aware model for predicting sales performance using blogs paper
7FCAC47C Fast nonparametric matrix factorization for large-scale collaborative filtering paper
7C55E7CA Question classification using support vector machines paper
7604023B Multi-labelled classification using maximum entropy method paper
7FB644D7 Attack resistant collaborative filtering paper
7B3B8047 The score-distributional threshold optimization for adaptive binary classification tasks paper
75A13C44 A combined component approach for finding collection-adapted ranking functions based on genetic programming paper
77C20005 On the reuse of past optimal queries paper
7A70C78D Text summarization via hidden Markov models paper
77E54E63 Maximum likelihood estimation for filtering thresholds paper
7B2FC402 A probabilistic model for retrospective news event detection paper
5F58E392 Memory-Based Weighted-Majority Prediction For Recommender Systems paper
77B562B0 Constant interaction-time scatter/gather browsing of very large document collections paper
795D0482 Combining semantic and syntactic document classifiers to improve first story detection paper
77FC641C Document clustering based on non-negative matrix factorization paper
79488D4F Table extraction using conditional random fields paper
7EFB412A Cluster-based retrieval using language models paper
7ED93FB4 Learning collection fusion strategies paper
76124B5A MURAX: a robust linguistic approach for question answering using an on-line encyclopedia paper
78D113C7 Near-duplicate detection by instance-level constrained clustering paper
7732DE1B Information-based models for ad hoc IR paper
7A4134BA Real-time automatic tag recommendation paper
7F93C5EE Feature selection using linear classifier weights: interaction with classification models paper
7ACDE861 Document clustering using word clusters via the information bottleneck method paper
7DD69C60 Predicting user interests from contextual information paper
80F27E0A Learning query intent from regularized click graphs paper
773A28BA An outranking approach for rank aggregation in information retrieval paper
7717164F A system for discovering relationships by feature extraction from text databases paper
7B6BECCA Document clustering by concept factorization paper
7846667E Phrase recognition and expansion for short, precision-biased queries based on a query log paper
7858AB3E Principles of hash-based text retrieval paper
7A9AB8FE A boosting algorithm for learning bipartite ranking functions with partially labeled data paper
7D57ED17 Hits on the web: how does it compare? paper
7F70B0C6 Hierarchical classification for automatic image annotation paper
7E51B04C ReCoM: reinforcement clustering of multi-type interrelated data objects paper
7D18A26B Robustness of adaptive filtering methods in a cross-benchmark evaluation paper
7BA595A1 Reexamining the cluster hypothesis: scatter/gather on retrieval results paper
768CB18D Identifying comparative sentences in text documents paper
7DA19E2F Probabilistic latent semantic indexing paper
80E8E3FF Two-stage language models for information retrieval paper
7E1885C4 A simple and efficient sampling method for estimating AP and NDCG paper
7FE98C7B Multi-label informed latent semantic indexing paper
78D53B0C Content awareness in a file system interface: implementing the “pile” metaphor for organizing information paper
7CE997EC Title language model for information retrieval paper
7EE9B453 LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval paper
75FE10AA Combining content and link for classification using matrix factorization paper
7E339AE3 Unifying user-based and item-based collaborative filtering approaches by similarity fusion paper
7CE4C917 A hidden Markov model information retrieval system paper
7D27CD5C A comparative study on content-based music genre classification paper
806B79BA Using term informativeness for named entity detection paper
7704C86B Uncovering social spammers: social honeypots + machine learning paper
76ECE574 Information retrieval based on context distance and morphology paper
7BE2DBD7 A nonparametric hierarchical bayesian framework for information filtering paper
7B7421A9 Document and passage retrieval based on hidden Markov models paper
7C84EFA6 Using asymmetric distributions to improve text classifier probability estimates paper
77776386 Modeling task-genre relationships for IR in the workplace paper
7FC7E48C Learning to rank with partially-labeled data paper
78E927E1 A system for retrieving speech documents paper
6D9583F3 A Statistical Learning Model of Text Classification for Support Vector Machines paper
80C2F3D1 How good is a span of terms?: exploiting proximity to improve web retrieval paper
79A8B1C9 Test theory for assessing IR test collections paper
7F7B5C50 FRank: a ranking method with fidelity loss paper
78D99945 Link-based and content-based evidential information in a belief network model paper
775E6765 Text filtering by boosting naive Bayes classifiers paper
796BA8B2 Less is more: probabilistic models for retrieving fewer relevant documents paper
7FC261FA Display time as implicit feedback: understanding task effects paper
79512E52 A syntactic tree matching approach to finding similar questions in community-based qa services paper
7D2E280B Exploring reductions for long web queries paper
7B117957 Document clustering with cluster refinement and model selection capabilities paper
794827F5 Summarizing text documents: sentence selection and evaluation metrics paper
78E1E9C6 Retrieval from hierarchical texts by partial patterns paper
76416B60 A new family of online algorithms for category ranking paper
7639488D Cluster analysis for hypertext systems paper
75EF1C90 ProbFuse: a probabilistic approach to data fusion paper
78F49B8F A scalability analysis of classifiers in text categorization paper
8152E571 Machine Learned Sentence Selection Strategies for Query-Biased Summarization paper
7DD7DEBD Cross-lingual query suggestion using query logs of different languages paper
78975264 Searching XML documents via XML fragments paper
7B7B1654 OHSUMED: an interactive retrieval evaluation and new large test collection for research paper
769B3F81 A cluster-based resampling method for pseudo-relevance feedback paper
7B040B8A Hierarchical classification of Web content paper
7809C2E7 Evaluating different methods of estimating retrieval quality for resource selection paper
7DF40F16 Latent semantic analysis for multiple-type interrelated data objects paper
77ABD635 Predicting searcher frustration paper
80E41878 An exploration of proximity measures in information retrieval paper
75FF852E Extracting classification knowledge of Internet documents with mining term associations: a semantic approach paper
7B2CFD6B On-line spam filter fusion paper
7DF5FD24 Scalable collaborative filtering using cluster-based smoothing paper
7C6DD8B3 Heads and tails: studies of web search with common and rare queries paper
79867488 Learning to reduce the semantic gap in web image retrieval and annotation paper
78739CC6 Modeling annotated data paper
7BE657E1 An investigation of linguistic features and clustering algorithms for topical document clustering paper
78E20C29 Relation between PLSA and NMF and implications paper
7609D5DF On the allocation of documents in multiprocessor information retrieval systems paper
794AEB38 Deriving concept hierarchies from text paper
7BA6D12B Combining audio content and social context for semantic music discovery paper
759D2CE6 A proximity language model for information retrieval paper
7A51D293 Experiments in automatic statistical thesaurus construction paper
753DC597 Graph-based text classification: learn from your neighbors paper
7D0390EF A ranking approach to keyphrase extraction paper
7E7DB01D SETS: search enhanced by topic segmentation paper
7D07EA20 Modeling score distributions for combining the outputs of search engines paper
76966625 Combining classifiers in text categorization paper
7C37FEB1 Method combination for document filtering paper
80A29B12 OCFS: optimal orthogonal centroid feature selection for text categorization paper
80B21893 Temporal diversity in recommender systems paper
7C30EEB1 High performance question/answering paper
7F590CD7 A study of smoothing methods for language models applied to Ad Hoc information retrieval paper
75F92624 A new statistical formula for Chinese text segmentation incorporating contextual information paper
77A8FDF8 Probabilistic retrieval based on staged logistic regression paper
78D85E0C Corpus structure, language models, and ad hoc information retrieval paper
78C0F21F Structured retrieval for question answering paper
79AF27CC Learning to extract information from semi-structured text using a discriminative context free grammar paper
75E9C9D8 Extracting sentence segments for text summarization: a machine learning approach paper
7C336E8D Combining document representations for known-item search paper
803EB3CE Eye-tracking analysis of user behavior in WWW search paper
7D9C69EE Combining eye movements and collaborative filtering for proactive information retrieval paper
76D90529 Classifying news stories using memory based reasoning paper
79FA70D7 Probabilistic structured query methods paper
7F1D7BFD Simultaneously modeling semantics and structure of threaded discussions: a sparse coding approach and its applications paper
7F2984B0 Knowledge transformation from word space to document space paper
7C54E0A8 An algorithmic framework for performing collaborative filtering paper
75679CB4 The demographics of web search paper
79572652 Using a generalized instance set for automatic text categorization paper
767E699B Concept based query expansion paper
7C4B3240 An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages paper
7E66B48C Understanding web browsing behaviors through Weibull analysis of dwell time paper
76802781 Configurable indexing and ranking for XML information retrieval paper
75CC40F2 On social networks and collaborative recommendation paper
7F8BE2AE To personalize or not to personalize: modeling queries with variation in user intent paper
7B402A2B Discriminative models for information retrieval paper
7D04722B Smoothing clickthrough data for web search ranking paper
7C938085 Social tag prediction paper
7A9BC2CE Performance prediction using spatial autocorrelation paper
7F353B6C Learning to efficiently rank paper
7C9E67C8 An application of least squares fit mapping to text information retrieval paper
7B4273A8 Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces paper
80DB410E Learning in a pairwise term-term proximity framework for information retrieval paper
80A853E8 Methods and metrics for cold-start recommendations paper
7BC15EA3 Inverted file search algorithms for collaborative filtering paper
7E35D10F Relative loss bounds for multidimensional regression problems paper
806B6586 Structure Learning in Human Causal Induction paper
8077EC7D On Semi-Supervised Classification paper
8056BD5F Structure driven image database retrieval paper
7EF33A3D Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel Classifiers paper
7F1E0CFF Modularity in the motor system: decomposition of muscle patterns as combinations of time-varying synergies paper
7EB19CBF The Curse of Highly Variable Functions for Local Kernel Machines paper
7D0DE567 Supervised Topic Models paper
80BDC5D6 Temporal Difference Learning of Position Evaluation in the Game of Go. paper
7E3803E1 Motivated Reinforcement Learning paper
78D0BF2F Statistical Learning and Kernel Methods paper
80ABFA75 Correcting sample selection bias in maximum entropy density estimation paper
7E4A9EE9 Distributed Information Regularization on Graphs paper
7D6AE24E Semi-supervised Learning via Gaussian Processes paper
072612B1 Using sparseness and analytic qp to speed training of support vector machines paper
7F01737C A Natural Policy Gradient paper
7FF8EA9C Using machine learning to break visual human interaction proofs (HIPs paper
7F74B998 Brain covariance selection: better individual functional connectivity models using population prior paper
7F982DD7 A Neural Probabilistic Language Model paper
80A4C715 Predictive Representations of State paper
81142B07 Nonlinear causal discovery with additive noise models paper
8160D140 An investigation of practical approximate nearest neighbor algorithms paper
80C003CA Reinforcement learning algorithm for partially observable markov decision problems paper
7F33F805 Playing is believing: the role of beliefs in multi-agent learning paper
814EEEA3 Learning Body Pose via Specialized Maps paper
7DD35DD9 An Impossibility Theorem for Clustering paper
7F50BFA0 From regularization operators to support vector kernels paper
7E822097 Semi-Supervised Learning in Gigantic Image Collections paper
7F6E9F45 Fast Sparse Gaussian Process Methods: The Informative Vector Machine paper
7DF759B3 Adaptive Scaling for Feature Selection in SVMs paper
7ECDB999 A Model for Learning the Semantics of Pictures paper
800548F2 Feature Selection in Mixture-Based Clustering paper
7E55BE4B Global Coordination of Local Linear Models paper
7E547487 Sparse multinomial logistic regression via Bayesian L1 regularisation paper
80A358D5 Semi-Markov Conditional Random Fields for Information Extraction paper
7F2117CD Clustering Sequences with Hidden Markov Models paper
80B2D696 Modeling homophily and stochastic equivalence in symmetric relational data paper
7F30DC57 Speech Denoising and Dereverberation Using Probabilistic Models paper
80C62025 Optimizing classifiers for imbalanced training sets paper
7E45C7B8 People Tracking with the Laplacian Eigenmaps Latent Variable Model paper
81757C3D Scheduling straight-line code using reinforcement learning and rollouts paper
7D093483 A Support Vector Method for Clustering paper
7E77AC6B Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons paper
7D1D979B Linear programming analysis of loopy belief propagation for weighted matching paper
7F350489 Feature Selection by Maximum Marginal Diversity paper
7DEEACDD Bayesian Map Learning in Dynamic Environments paper
8164584A A Convolutional Neural Network Hand Tracker paper
7D8E762F Learning Joint Statistical Models for Audio-Visual Fusion and Segregation paper
7D936BBC Modeling Dyadic Data with Binary Latent Factors paper
7EBA561C Active Learning with Statistical Models paper
7D59AA1D Combining Features for BCI paper
099A87D9 KLD-Sampling: Adaptive Particle Filters and Mobile Robot Localization paper
7EA79FED Exponential Family Harmoniums with an Application to Information Retrieval paper
7D2DF584 Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes paper
7D174948 Generalized Belief Propagation paper
813FDD1B Generalized Nonnegative Matrix Approximations with Bregman Divergences paper
7EAEDFB4 Second Order Derivatives for Network Pruning: Optimal Brain Surgeon paper
80BBF0C9 Making Latin Manuscripts Searchable using gHMM's paper
7E7547A0 Active Learning for Parameter Estimation in Bayesian Networks paper
80DAA99F Maximum entropy discrimination paper
7FAE0808 Neural network computation by in vitro transcriptional circuits paper
7DFE790B Evidence Optimization Techniques for Estimating Stimulus-Response Functions paper
7DDDBAD9 An Alternative Infinite Mixture Of Gaussian Process Experts paper
7F9724B3 Bayesian Image Super-Resolution paper
7E782D13 Boosting Density Estimation paper
7E326FA5 Stochastic Relational Models for Discriminative Link Prediction paper
7F0F8720 STDP enables spiking neurons to detect hidden causes of their inputs paper
7D60268A Blind One-microphone Speech Separation: A Spectral Learning Approach paper
7CFC8D2A Invariant feature extraction and classification in kernel spaces paper
7FE475C5 Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization paper
8092798B Dynamically adapting kernels in support vector machines paper
8052080B Measure Based Regularization paper
7D0055D2 Entropy and inference, revisited paper
5E72175B How to Train Neural Networks paper
7EC28978 Empirical Entropy Manipulation for Real-World Problems paper
813114EB Pairwise Neural Network Classifiers with Probabilistic Outputs paper
81677328 Constrained Independent Component Analysis paper
8178B7DF Learning Horizontal Connections in a Sparse Coding Model of Natural Images paper
812A9105 Learning Appearance Based Models: Mixtures of Second Moment Experts paper
805BEE8B Fast Krylov Methods for N-Body Learning paper
7F1F88FC Learning to Find Pre-Images paper
7F67DA5B The Relevance Vector Machine paper
80A1AA6F Model Selection for Support Vector Machines paper
7FA42A15 Learning Spectral Clustering paper
7FDB0770 Linearly-solvable Markov decision problems paper
7D8A470B Optimal Asset Allocation using Adaptive Dynamic Programming paper
7DC34932 Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling paper
7F940CBB Speech Recognition using SVMs paper
7DCDA966 Algorithmic Stability and Generalization Performance paper
7DC0ADEE The cascade-correlation learning architecture paper
80D639AE An Input Output HMM Architecture paper
7EEDADD9 Non-stationary Dynamic Bayesian Networks paper
7DB65A75 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods paper
7F46BABD The Recurrent Temporal Restricted Boltzmann Machine paper
7F4CBB48 Detecting Humans via Their Pose paper
7D8DE4FE Batch Value Function Approximation via Support Vectors paper
7DB1D7A0 Incremental and Decremental Support Vector Machine Learning paper
7FEA17D3 Sparse Representation for Signal Classification paper
8055021C Face Recognition Using Kernel Methods paper
80A2F973 Modeling human motion using binary latent variables paper
7D90D697 Learning Local Error Bars for Nonlinear Regression paper
7F4B0CCF An entropic estimator for structure discovery paper
7E533F1A COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking paper
042C0414 Support vector machine with dynamic time-alignment kernel for speech recognition paper
7DD0397C Greedy Layer-Wise Training of Deep Networks paper
7DCB1DA7 Non-rigid point set registration: Coherent Point Drift paper
7EB77038 Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra paper
7DBF16B5 Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms paper
7F6F87F5 A Nonparametric Approach to Bottom-Up Visual Saliency paper
7D76B7D9 Using Combinatorial Optimization within Max-Product Belief Propagation paper
8172D4A6 Combined Neural Networks for Time Series Analysis paper
7EB74B6D Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA paper
7F237049 Automatic Choice of Dimensionality for PCA paper
7EB7C471 Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis paper
7D358160 Computing regularization paths for learning multiple kernels paper
7E416A5F Classification on pairwise proximity data paper
8076230E An Auditory Paradigm for Brain-Computer Interfaces paper
80247D8B Bayesian Color Constancy with Non-Gaussian Models paper
7CEEEC7D Multi-label Multiple Kernel Learning paper
7E93160E Designing Application-Specific Neural Networks Using the Genetic Algorithm paper
7FC5D8D2 Sparse Convolved Gaussian Processes for Multi-output Regression paper
80549FC1 Distributed Inference for Latent Dirichlet Allocation paper
8040EE73 The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space paper
7FB23E3B On Kernel-Target Alignment paper
7F637EF0 Support Vector Regression Machines paper
7D6E0C8A Boosting Decision Trees paper
7D6638B4 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation paper
80BFFE30 Active data clustering paper
7D9D6E2B Asynchronous Distributed Learning of Topic Models paper
7D8B807D Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models paper
7D2E9BA5 Training Neural Networks with Deficient Data paper
7DA580DD Blind Source Separation via Multinode Sparse Representation paper
814C7B2E Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules paper
816290C5 Active Support Vector Machine Classification paper
80C46674 On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization paper
8173C9C8 Classification with Hybrid Generative/Discriminative Models paper
80604CD7 Feature Selection in Clustering Problems paper
7E441FB7 Learning a Distance Metric from Relative Comparisons paper
80A77CA5 Tighter Bounds for Structured Estimation paper
80C4A593 Feudal Reinforcement Learning paper
7D0BE3A4 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning paper
7FDDADBD Two view learning: SVM-2K, theory and practice paper
7F1F26C2 Surface Learning with Applications to Lipreading paper
7F3E9408 Online Linear Regression and Its Application to Model-Based Reinforcement Learning paper
7D1C9CFB Automatic online tuning for fast Gaussian summation paper
7D27EDFC Sparse Gaussian processes using pseudo-inputs paper
7D32EB6D Instance-Based Relevance Feedback for Image Retrieval paper
7D61050A Learning Shared Latent Structure for Image Synthesis and Robotic Imitation paper
814E8581 Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation paper
80FD7E3B Automatic Capacity Tuning of Very Large VC-Dimension Classifiers paper
7D5DA52D Non-Intrusive Gaze Tracking Using Artificial Neural Networks paper
8007F8F8 The Generalized FITC Approximation paper
7FBB7A4D Convex Learning with Invariances paper
803513F9 Adaptive Sparseness Using Jeffreys Prior paper
7E2665B2 Cascaded Classification Models: Combining Models for Holistic Scene Understanding paper
80CBED4C FloatBoost Learning for Classification paper
7CF35447 Competitive on-line linear regression paper
7DEAFE65 A Kernel Statistical Test of Independence paper
7ED720C5 Adaptive Discriminative Generative Model and Its Applications paper
7E2C5C26 Representing Face Images for Emotion Classification paper
7E2B66A3 Cue Integration for Figure/Ground Labeling paper
808FE270 Fast Pruning Using Principal Components paper
8099A46C Adaptive caching by refetching paper
804CBE68 Region-based segmentation and object detection paper
80F4E336 Extracting Rules from Artificial Neural Networks with Distributed Representations paper
5F0FDB15 Bethe free energy, Kikuchi approximations and belief propagation algorithms paper
7E3C2CE9 Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation paper
7DB0BADD Autonomous Helicopter Flight via Reinforcement Learning paper
806C6489 Sparse Overcomplete Latent Variable Decomposition of Counts Data paper
7E8F168C Estimating dependency structure as a hidden variable paper
7D1B9B2E Relational Learning with Gaussian Processes paper
7FEC5C75 Intrusion detection with neural networks paper
7D1B6D52 Infinite Mixtures of Gaussian Process Experts paper
80EF0452 Differential Entropic Clustering of Multivariate Gaussians paper
8048D17E Very fast EM-based mixture model clustering using multiresolution kd-trees paper
80731A3F Policy Gradient Methods for Reinforcement Learning with Function Approximation paper
80626F45 Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering paper
8062A0B9 Reinforcement Learning Methods for Continuous-Time Markov Decision Problems paper
80031155 Network Structuring and Training Using Rule-Based Knowledge paper
814977C7 Dirichlet-Enhanced Spam Filtering based on Biased Samples paper
7E62D734 APRICODD: Approximate Policy Construction Using Decision Diagrams paper
7E7674B7 Constraint Classification for Multiclass Classification and Ranking paper
8016C0EE Sparse Inverse Covariance Selection via Alternating Linearization Methods paper
811AC87E Real-Time Monitoring of Complex Industrial Processes with Particle Filters paper
7F181107 Differentiable Sparse Coding paper
7FEA8B68 Margin Analysis of the LVQ Algorithm paper
7E9B45CB Ranking with Large Margin Principle: Two Approaches paper
7D0A7E94 Feature selection for SVMs paper
804D526A Very loopy belief propagation for unwrapping phase images paper
81399C78 Convex Clustering with Exemplar-Based Models paper
7FDB221E Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games paper
80654B49 Agglomerative Multivariate Information Bottleneck paper
7EE42D0C For Valid Generalization the Size of the Weights is More Important than the Size of the Network paper
80904D5E Translated Learning: Transfer Learning across Different Feature Spaces paper
7F119925 Adaptive On-line Learning in Changing Environments paper
7F2ED4AF A Prototype for Automatic Recognition of Spontaneous Facial Actions paper
811AB3CC Multiple Instance Boosting for Object Detection paper
8116DF08 An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition paper
81695CF6 Learning and Tracking Cyclic Human Motion paper
80F5A262 Convergence of Laplacian Eigenmaps paper
80F62409 On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes paper
8148A781 Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems paper
81489AE1 Learning Lie groups for invariant visual perception paper
803CA2D5 Boltzmann Chains and Hidden Markov Models paper
7F8B8885 Spectral Relaxation for K-means Clustering paper
7F4908D3 Pairwise Clustering and Graphical Models paper
8001EDA0 Genetic Algorithms and Explicit Search Statistics paper
8082FA4D Multi-time Models for Temporally Abstract Planning paper
7DABA1F0 Algorithms for better representation and faster learning in radial basis function networks paper
8178C161 Efficient learning of sparse representations with an energy-based model paper
7F54C540 Large Margin Component Analysis paper
814D7C0C Active Learning in Multilayer Perceptrons paper
7E3DFA2A Parallel Support Vector Machines: The Cascade SVM paper
801D81A0 Kernels for Multi--task Learning paper
802620B2 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning paper
8025A451 Information Regularization with Partially Labeled Data paper
7DFF7F2C Learning Classification with Unlabeled Data paper
7E114C9F Supervised Graph Inference paper
8019AD19 Log-Linear Models for Label Ranking paper
7F205F2A Hierarchical Topic Models and the Nested Chinese Restaurant Process paper
80938E8B Learning Graphical Models with Mercer Kernels paper
7ED428DC Robotic Grasping of Novel Objects paper
7EEE947A Bayesian Network Induction via Local Neighborhoods paper
7D2BFC66 Approximate inference and protein folding paper
80289205 Large Margin Hidden Markov Models for Automatic Speech Recognition paper
7E4C964A Memory-based Stochastic Optimization paper
7D349CC8 Kernel Measures of Conditional Dependence paper
7D3405BA FaceSync: A linear operator for measuring synchronization of video facial images and audio tracks paper
7E7BD3DD Face Detection --- Efficient and Rank Deficient paper
7D6444FA Agglomerative Information Bottleneck paper
7CEF844A Discriminative Fields for Modeling Spatial Dependencies in Natural Images paper
7E182328 Expectation Maximization and Posterior Constraints paper
7E123238 Reinforcement learning in Markovian and non-Markovian environments paper
80D35D54 Factorial Learning and the EM Algorithm paper
7DCBEC90 Limits of spectral clustering paper
7E4F1B2C Improving Performance in Neural Networks Using a Boosting Algorithm paper
7F5FB6F9 Learning Multiple Related Tasks using Latent Independent Component Analysis paper
8111B3F8 Policy Search by Dynamic Programming paper
810AA399 Efficient and Robust Feature Extraction by Maximum Margin Criterion paper
7F12B5EE Bayesian Synchronous Grammar Induction paper
8031E3C3 Learning the K in K-Means paper
7F248834 Outcomes of the equivalence of adaptive ridge with least absolute shrinkage paper
81624C57 Rule Induction through Integrated Symbolic and Subsymbolic Processing paper
7EB62103 A kernel method for the two sample problem paper
7D0ADCE2 Maximum Likelihood Competitive Learning paper
8175C9C5 A New View of Automatic Relevance Determination paper
7F41F826 Algorithms for Non-negative Matrix Factorization paper
5975C39A Neural Network Classification and Prior Class Probabilities paper
80FD9D2C Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA paper
7EFAB94D Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors paper
7D786D69 Neural Decoding of Cursor Motion Using a Kalman Filter paper
7FA94A1B Ensemble learning for multi-layer networks paper
7D6B1697 Fast Discriminative Visual Codebooks using Randomized Clustering Forests paper
7D32291D Learning Prototype Models for Tangent Distance paper
808C1F83 Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach paper
7D78573D Using analytic QP and sparseness to speed training of support vector machines paper
7F9CBE3E Learning a discriminative hidden part model for human action recognition paper
7FEF95FF Spectral Clustering with Perturbed Data paper
812ECEF7 Mixture Regression for Covariate Shift paper
7F672654 Reinforcement Learning with Function Approximation Converges to a Region paper
7D8304BB Lazy learning meets the recursive least squares algorithm paper
7E507BC1 Theory-Based Causal Inference paper
7DA50AE6 Semi-supervised support vector machines paper
8176B073 Efficient kernel machines using the improved fast Gauss transform paper
7D12D2F3 A Machine Learning Approach to Conjoint Analysis paper
80BE93F4 Global Ranking Using Continuous Conditional Random Fields paper
7D28E8EE Model-Free Least-Squares Policy Iteration paper
8092EB86 Boosting and Maximum Likelihood for Exponential Models paper
8147512E A Theory for Neural Networks with Time Delays paper
7F1F826B Discriminative K-means for Clustering paper
81543571 Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data paper
806C8050 Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA paper
80E89037 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes paper
806C131F Bayesian Ensemble Learning paper
7D8C165F Direct optimization of margins improves generalization in combined classifiers paper
803C01A9 Fitted Q-iteration in continuous action-space MDPs paper
7DC6DF15 Approximate inference using planar graph decomposition paper
7EF85D32 Going Metric: Denoising Pairwise Data paper
7DC8E026 Statistical Analysis of Semi-Supervised Regression paper
7DBF8430 An Alternative Model for Mixtures of Experts paper
7DCEFD9E Describing visual scenes using transformed dirichlet processes paper
8069E880 Modeling the effects of memory on human online sentence processing with particle filters paper
7F49A678 Multi-Instance Multi-Label Learning with Application to Scene Classification paper
800FD086 Back propagation is sensitive to initial conditions paper
802AEE38 Learning Nonparametric Models for Probabilistic Imitation paper
7FFBFF0F Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks paper
7EBB815D Monte Carlo Matrix Inversion and Reinforcement Learning paper
810C36FF Learning influence among interacting Markov chains paper
80ADB238 Non-Local Manifold Tangent Learning paper
7D18FEFE Markov Models for Automated ECG Interval Analysis paper
7E4D101F Online Metric Learning and Fast Similarity Search paper
800D7398 Unsupervised Learning by Convex and Conic Coding paper
7E5BB07A Scale Mixtures of Gaussians and the Statistics of Natural Images paper
7FD89D16 Random Features for Large-Scale Kernel Machines paper
7D91371A Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification paper
7D8021AD Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck operators paper
7F77D846 A SNoW-Based Face Detector paper
7E68E743 Modeling Conversational Dynamics as a Mixed-Memory Markov Process paper
7D6C388F Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model paper
7F641FC1 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model paper
80702873 Maximum conditional likelihood via bound maximization and the CEM algorithm paper
807BE07B Restructuring sparse high dimensional data for effective retrieval paper
7E5A5AFB The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information paper
7EF18C7F Bayesian Unsupervised Learning of Higher Order Structure paper
7E992AA0 Learning Attractor Landscapes for Learning Motor Primitives paper
7E789825 Reinforcement Learning Applied to Linear Quadratic Regulation paper
8075E1D1 Clustering appearance and shape by learning jigsaws paper
7F23679D Combining Graph Laplacians for Semi--Supervised Learning paper
7EAC0C12 Bayesian modeling of facial similarity paper
7DFF6622 Monte Carlo POMDPs paper
7E725B82 Online Classification on a Budget paper
80209BB4 Laplacian Score for Feature Selection paper
801AE9D4 Catching Change-points with Lasso paper
7ED7D34A Neural Network Ensembles, Cross Validation, and Active Learning paper
816FBD21 A Probabilistic Approach for Optimizing Spectral Clustering paper
7F5FBF24 Unsupervised Variational Bayesian Learning of Nonlinear Models paper
7D201F56 Hierarchical Recurrent Neural Networks for Long-Term Dependencies paper
803BA078 Nonlinear Image Interpolation using Manifold Learning paper
7D7F57CC Support Vector Method for Novelty Detection paper
800F6FE3 Bayesian Exponential Family PCA paper
80A3B22A Learning Depth from Single Monocular Images paper
8070C063 Locality Preserving Projections paper
80557CFA Multi-Task Learning via Conic Programming paper
7E640FCD Transformation Invariant Autoassociation with Application to Handwritten Character Recognition paper
7D0347D3 Two-Dimensional Linear Discriminant Analysis paper
7E534EB9 Sparse Kernel Principal Component Analysis paper
7EAA11F7 Generalization in Reinforcement Learning: Safely Approximating the Value Function paper
7DBFCF6D Map-Reduce for Machine Learning on Multicore paper
7F63C633 Probabilistic Matrix Factorization paper
803A946D Conditional Random Fields for Object Recognition paper
7D6AFD2C Exploiting Tractable Substructures in Intractable Networks paper
7E56777C Multi-task Gaussian Process Prediction paper
7D94DD4E Multi-resolution Exploration in Continuous Spaces paper
7DC33472 Receding Horizon Differential Dynamic Programming paper
7D309420 An EM Algorithm for Localizing Multiple Sound: Sources in Reverberant Environments paper
02D1373B Emotion Recognition from Facial Expressions using Multilevel HMM paper
80CBC209 Classification of Electroencephalogram using Artificial Neural Networks paper
7F0997A1 Tensor Subspace Analysis paper
7C43B6E0 Uci repository of machine learning databases paper
7E1F9EC9 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning paper
807E43F9 Classifying Single Trial EEG: Towards Brain Computer Interfacing paper
7F92ABE8 When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? paper
7FD129EE Sampling Techniques for Kernel Methods paper
7FD6F74F Bayes-Adaptive POMDPs paper
810EFEF2 How Linear are Auditory Cortical Responses? paper
7FA73E8D Fast Non-Linear Dimension Reduction paper
80ABBD29 Regularized Policy Iteration paper
80DB3783 Harmonising chorales by probabilistic inference paper
7E05CBEF Recognizing Handwritten Digits Using Mixtures of Linear Models paper
7D125BFF Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes paper
7D45DC63 Perspectives on sparse bayesian learning paper
7DC01CDB Learning Sparse Codes with a Mixture-of-Gaussians Prior paper
7E9C0FC0 The Unscented Particle Filter paper
7F95FD75 On the Convexity of Latent Social Network Inference paper
7E4EA9F9 Rules and Similarity in Concept Learning paper
7DA7C1A0 Nonlinear Discriminant Analysis Using Kernel Functions paper
7DA9D7C0 DIFFRAC: a discriminative and flexible framework for clustering paper
7FE563CC Programmable Reinforcement Learning Agents paper
7D756953 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction paper
7E7C89A0 Maximum-Margin Matrix Factorization paper
7E8CD187 Robust Fisher Discriminant Analysis paper
7ED98D6F Ordinal Regression by Extended Binary Classification paper
7FD29BEC A Bayesian LDA-based model for semi-supervised part-of-speech tagging paper
8017CEF2 Learning to Play the Game of Chess paper
8100A103 Learning a Rare Event Detection Cascade by Direct Feature Selection paper
7D2B698F Fractional Belief Propagation paper
7DE28C2A Minimax Differential Dynamic Programming: An Application to Robust Biped Walking paper
7F69E34B Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior paper
5A0E0F52 Hybrid SVM/HMM Architectures for Speech Recognition paper
7E0C13B8 Training knowledge-based neural networks to recognize genes in DNA sequences paper
7D7854CB Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming paper
7F70DE47 Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines paper
81587507 Learning with Hypergraphs: Clustering, Classification, and Embedding paper
7D3983F4 Multi-Digit Recognition Using a Space Displacement Neural Network paper
7E5F8479 Influence of graph construction on graph-based clustering measures paper
810FE1F7 A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction paper
7D33FE70 A Gradient-Based Boosting Algorithm for Regression Problems paper
7D0F58BD Risk Sensitive Particle Filters paper
7DD25105 Learning Switching Linear Models of Human Motion paper
7DE9F072 Correcting sample selection bias by unlabeled data paper
7E341058 Improving Elevator Performance Using Reinforcement Learning paper
7FEA42DF Soft clustering on graphs paper
7DE4D2F6 Charting a Manifold paper
81498C32 Learning vehicular dynamics, with application to modeling helicopters paper
80E3A18A Policy Search via Density Estimation paper
80A35F5D The Infinite Hidden Markov Model paper
80ED9D00 Minimum Bayes Error Feature Selection for Continuous Speech Recognition paper
80C02B35 Similarity and Discrimination in Classical Conditioning: A Latent Variable Account paper
7E07F9CD Finding Structure in Reinforcement Learning paper
81046658 Maximal Margin Labeling for Multi-Topic Text Categorization paper
80A8D67A Reinforcement learning with hierarchies of machines paper
7DAFAF38 Sparse Feature Learning for Deep Belief Networks paper
7EF5B456 Mixtures of Gaussian processes paper
7E0C7804 Hierarchical Bayesian Inference in Networks of Spiking Neurons paper
7F4E9DE6 A Dynamic HMM for On-line Segmentation of Sequential Data paper
7E102628 Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity paper
80599306 Bumptrees for efficient function, constraint, and classification learning paper
007539D8 Ensemble Learning and Evidence Maximization paper
7E70979E From Lasso regression to Feature vector machine paper
80162ACD Near-Maximum Entropy Models for Binary Neural Representations of Natural Images paper
80E9E3A4 A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks paper
7EB9CD4B Boosting Structured Prediction for Imitation Learning paper
7E8AA82F Mortal Multi-Armed Bandits paper
7FF1E0EA `N-Body' Problems in Statistical Learning paper
7F418AAE A Generalization of Principal Components Analysis to the Exponential Family paper
7FE1A45C Semi-supervised Learning by Entropy Minimization paper
7FB2D661 Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors paper
80F4891E An experimental comparison of recurrent neural networks paper
7D06FAF4 Nash propagation for loopy graphical games paper
7F59F92A Incremental Natural Actor-Critic Algorithms paper
7CFE3107 Subordinate class recognition using relational object models paper
7E2889CC Generalization and scaling in reinforcement learning paper
80D9F260 Gaussian Processes for Regression paper
7F8FB6E7 Non-parametric Modeling of Partially Ranked Data paper
7DAC4331 Improving Transfer Rates in Brain Computer Interfacing: a Case Study paper
80B4AA15 Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models paper
7D96EAA7 Deterministic Annealing Variant of the EM Algorithm paper
7E14EA5D Practical Confidence and Prediction Intervals paper
7CF6913D Reinforcement Learning with Long Short-Term Memory paper
80A7DF63 Probabilistic modeling for face orientation discrimination: learning from labeled and unlabeled data paper
7E1A7F1E Convergence Properties of the K-Means Algorithms paper
7E506DAA Towards social robots: Automatic evaluation of human-robot interaction by face detection and expression classification paper
80D9791D Active Preference Learning with Discrete Choice Data paper
7DA3D045 A Local Learning Approach for Clustering paper
7F240FF0 A New Learning Algorithm for Blind Signal Separation paper
7D8197BF Max-margin Markov networks paper
80A462FA Balanced Graph Matching paper
7D82EEC5 Kernel PCA and de-noising in feature spaces paper
7F4E68CF Semiparametric support vector and linear programming machines paper
80913E01 Evaluating probabilities under high-dimensional latent variable models paper
7EDF0F0C Approximate Policy Iteration with a Policy Language Bias paper
80020EAC Independent component analysis for identification of artifacts in magnetoencephalographic recordings paper
5DB9A01C New roles for old holes: ion channel function in aquaporin-1 paper
7D354B28 Temporal Difference Learning in Continuous Time and Space paper
7FCEA931 VIBES: A Variational Inference Engine for Bayesian Networks paper
8118A037 On Spectral Clustering: Analysis and an algorithm paper
7F1CB64E Approximate Learning of Dynamic Models paper
7D051D4C Nearly Tight Bounds for the Continuum-Armed Bandit Problem paper
8061239D Phonetic Speaker Recognition with Support Vector Machines paper
7DA631BE A Spike Based Learning Neuron in Analog VLSI paper
7E0F4557 Scene Segmentation with CRFs Learned from Partially Labeled Images paper
7E94E6F8 SexNet: A neural network identifies sex from human faces paper
7E95A890 Support Vector Method for Function Approximation, Regression Estimation and Signal Processing paper
7DE3538E Correlated topic models paper
7DFF4968 Extracting Tree-Structured Representations of Trained Networks paper
7E71E2E1 Spike-based Learning Rules and Stabilization of Persistent Neural Activity paper
7EE014F8 Co-Training and Expansion: Towards Bridging Theory and Practice paper
801B288A Nearest-Neighbor-Based Active Learning for Rare Category Detection paper
813F78BA Uniqueness of the SVM Solution paper
7E9C56E9 Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding paper
7EB54BBB Multiplicative Updates for Classification by Mixture Models paper
7E5EB98E Multiple Kernel Learning and the SMO Algorithm paper
7D0E393A Propagation algorithms for variational Bayesian learning paper
7D9CC37C Text Classification using String Kernels. paper
802409C9 Implicit Mixtures of Restricted Boltzmann Machines paper
80289D83 Similarity by Composition paper
7EE36B30 Confidence Intervals for the Area Under the ROC Curve paper
7F0904E6 Efficient multiscale sampling from products of gaussian mixtures paper
8153C095 A matching pursuit approach to sparse Gaussian process regression paper
7D376FD4 Bayesian Policy Gradient Algorithms paper
7F269CE3 Conditional Models of Identity Uncertainty with Application to Noun Coreference paper
80CF6AAB ARA*: Anytime A* with Provable Bounds on Sub-Optimality paper
7ECF8F0B Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects paper
7EFFDF87 1-norm Support Vector Machines paper
7F4A1509 Probabilistic visualisation of high-dimensional binary data paper
80865609 Global versus local methods in nonlinear dimensionality reduction paper
7DA68EFB Robust Novelty Detection with Single-Class MPM paper
7E95F095 Reducing multiclass to binary by coupling probability estimates paper
7E39A90F Branch and Bound for Semi-Supervised Support Vector Machines paper
7E986779 Learning multi-class dynamics paper
7D18B400 A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications paper
7DCE4BB9 Incremental Learning for Visual Tracking paper
7E6A9684 Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? paper
7CF60899 Best-First Model Merging for Dynamic Learning and Recognition paper
7EE41613 Learning to Rank with Nonsmooth Cost Functions paper
80125F9F Computing Gaussian Mixture Models with EM Using Equivalence Constraints paper
7D95A909 Testing for Homogeneity with Kernel Fisher Discriminant Analysis paper
7E907384 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning paper
7D817608 Bundle Methods for Machine Learning paper
7E86CB86 All learning is local: Multi-agent learning in global reward games paper
8096C9BF Speakers optimize information density through syntactic reduction paper
7F4B0970 Learning Gaussian Process Kernels via Hierarchical Bayes paper
815B3144 Learning to Traverse Image Manifolds paper
7ED253AE Convolution Kernels for Natural Language paper
80EDCF3C Reinforcement Learning for Spoken Dialogue Systems paper
08CE7FB3 Gaussian process models for visualisation of high dimensional data paper
7F87E641 Intrinsically Motivated Reinforcement Learning paper
7ED99425 Sensory adaptation within a Bayesian framework for perception paper
7DA4254B Inference, Attention, and Decision in a Bayesian Neural Architecture paper
80F77A3D Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models paper
80F2492D Subsequence Kernels for Relation Extraction paper
81003093 Topmoumoute Online Natural Gradient Algorithm paper
80395099 Vicinal Risk Minimization paper
81776347 A Variational Baysian Framework for Graphical Models paper
8134EB8B Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient paper
8023D149 Natural Language Grammar Induction Using a Constituent-Context Model paper
7D86DDF0 Learning to Parse Images of Articulated Bodies paper
7DC56F06 Learning Bounds for Domain Adaptation paper
7D4E0644 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach paper
80A0C582 K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms paper
7EFBC133 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation paper
7EEEABC3 Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions paper
80276CAE Regularized Winnow Methods paper
7E8B7513 On the complexity of learning the kernel matrix paper
8058CA3C Unsupervised classification with non-Gaussian mixture models using ICA paper
7D503864 Autoencoders, Minimum Description Length and Helmholtz Free Energy paper
802D94A4 Adaptive Nearest Neighbor Classification Using Support Vector Machines paper
80743B1F On the Convergence of Eigenspaces in Kernel Principal Component Analysis paper
7E329201 A cost function for internal representations paper
7E5592CF Learning to schedule straight-line code paper
7E6121E5 A revolution: belief propagation in graphs with cycles paper
7D62E4ED EM algorithms for PCA and SPCA paper
7CEABDFD Maximum Margin Semi-Supervised Learning for Structured Variables paper
7F4CE0AE MLLE: Modified Locally Linear Embedding Using Multiple Weights paper
7E3A6625 A general agnostic active learning algorithm paper
7E199720 Analysis of Sparse Bayesian Learning paper
81469191 Margin Maximizing Loss Functions paper
805ED9C0 High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression paper
80684B02 A framework for multiple-instance learning paper
7E372557 Computation of Smooth Optical Flow in a Feedback Connected Analog Network paper
7EF39DF4 Knowledge-Based Support Vector Machine Classifiers paper
7EEC49A4 Parametric Mixture Models for Multi-Labeled Text paper
80597819 Nonstationary Covariance Functions for Gaussian Process Regression paper
7DFADDF7 Cluster Kernels for Semi-Supervised Learning paper
803B5A82 Latent Dirichlet Allocation paper
7DA98B92 Boosting Algorithms as Gradient Descent paper
7E1707B3 Probabilistic Methods for Support Vector Machines paper
6187D68E SV Estimation of a Distribution's Support paper
7F32BE39 Edges are the 'Independent Components' of Natural Scenes. paper
7D0F2709 Extracting Relevant Structures with Side Information paper
7E8CBE22 Covariance Kernels from Bayesian Generative Models paper
7EB3CE9A Human Face Detection in Visual Scenes paper
7D680F4D Support vector machines applied to face recognition paper
7FF9698E The Neurothermostat: Predictive Optimal Control of Residential Heating Systems paper
7F15F7B1 Large-Scale Sparsified Manifold Regularization paper
7E8945D8 Explaining away in weight space paper
7EBE35FF Handling Advertisements of Unknown Quality in Search Advertising paper
7FADA69B Learning Syntactic Patterns for Automatic Hypernym Discovery paper
7FD91D93 Neighbourhood Components Analysis paper
7E49B833 Learning nonlinear dynamical systems using an EM algorithm paper
80B8FF50 Efficient Kernel Discriminant Analysis via QR Decomposition paper
7DFB14A3 Efficient sparse coding algorithms paper
7EB0B912 Reinforcement Learning with Soft State Aggregation paper
7E036ADA Rate-coded Restricted Boltzmann Machines for Face Recognition paper
7EB2D8D5 Multi-task Gaussian Process Learning of Robot Inverse Dynamics paper
7DD7ABDC Conditional Models on the Ranking Poset paper
7E75CE02 Prior knowledge in support vector kernels paper
7D853DB3 Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex paper
7D93C83B Discriminability-Based Transfer between Neural Networks paper
80BEDDB8 Structured Learning with Approximate Inference paper
7EABF9C6 Boxlets: a fast convolution algorithm for signal processing and neural networks paper
7FF14CB4 Bayesian inference in spiking neurons paper
8166FB41 Learning Segmentation by Random Walks paper
814614BC Bayesian Agglomerative Clustering with Coalescents paper
7E4859F8 Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning paper
7D203513 PSVM: Parallelizing Support Vector Machines on Distributed Computers paper
7FDD5607 Hidden Markov Decision Trees paper
7DACE4D6 Dynamic Time-Alignment Kernel in Support Vector Machine. paper
808483F2 Extracting dynamical structure embedded in neural activity paper
7F9D960A Tree-structured Approximations by Expectation Propagation paper
808F528A Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping paper
80ECB21C Hidden Markov Model} Induction by Bayesian Model Merging paper
7E11C200 Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging paper
7DBCABDF An MDP-Based Approach to Online Mechanism Design paper
80C78819 Learning mixture hierarchies paper
7F890FDA Nonparametric Bayesian Learning of Switching Linear Dynamical Systems paper
7DDD10E0 A Parallel Mixture of SVMs for Very Large Scale Problems paper
7F8EFA51 PAC Generalization Bounds for Co-training paper
7F64419D Seeing through water paper
8077F3AB Data Visualization and Feature Selection: New Algorithms for Nongaussian Data paper
81332EBF Extracting and Learning an Unknown Grammar with Recurrent Neural Networks paper
7EEAA6AB How to dynamically merge Markov decision processes paper
808D32D3 Actor-Critic Algorithms paper
7F204042 Maximum Margin Clustering paper
8009984B Learning from Demonstration paper
8121C202 Exploiting generative models in discriminative classifiers paper
7FB80B3B Shrinking the tube: a new support vector regression algorithm paper
7F762329 Learning Sparse Topographic Representations with Products of Student-t Distributions paper
7DD206EC Improving the Performance of Radial Basis Function Networks by Learning Center Locations paper
7FEB8D23 Linear-time inference in Hierarchical HMMs paper
7E5E291E AUC Optimization vs. Error Rate Minimization paper
7E6F781B Semi-Supervised Learning with Trees paper
8039C056 Gaussian Processes in Reinforcement Learning paper
7EC15305 Supervised Learning with Growing Cell Structures paper
7DABFB67 Regularized Learning with Networks of Features paper
814974BF Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons paper
810184A8 Extended ICA removes artifacts from electroencephalographic recordings paper
7E95DA5C Generalized Learning Vector Quantization paper
7F0EBED1 Non-Local Manifold Parzen Windows paper
80D6330B Approximate Planning in Large POMDPs via Reusable Trajectories paper
8097FD62 Stochastic Neighbor Embedding paper
7DADBDAE Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing paper
811DDE06 Logistic Regression for Single Trial EEG Classification paper
7F09D5E0 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes paper
81700FC5 In-Network PCA and Anomaly Detection paper
80FCE1EF Gradient descent for general reinforcement learning paper
8026E445 On Reversing Jensen's Inequality paper
7EDA1458 Supervised learning from incomplete data via an EM approach paper
7E76246F An Online Algorithm for Maximizing Submodular Functions paper
7F6DD991 Group and Topic Discovery from Relations and Their Attributes paper
7F8DCCEC Regularization with Dot-Product Kernels paper
80B262A8 Mapping a manifold of perceptual observations paper
81012E05 Learning to Hash with Binary Reconstructive Embeddings paper
7F91B97D Explanation-Based Neural Network Learning for Robot Control paper
80E8A262 KLD-Sampling: Adaptive Particle Filters paper
7DB9D33E Optimality of Reinforcement Learning Algorithms with Linear Function Approximation paper
7D567B33 Methods Towards Invasive Human Brain Computer Interfaces paper
7E680128 The price of bandit information for online optimization paper
7D6478A8 The Forgetron: A kernel-based perceptron on a fixed budget paper
7EC4E2C5 On the Dirichlet Prior and Bayesian Regularization paper
7E12E9B2 A Model of the Neural Basis of the Rat's Sense of Direction paper
7E29BAF3 Higher order recurrent networks and grammatical inference paper
7DB0E84B Support Vector Machines for Multiple-Instance Learning paper
809F0AFC Collapsed Variational Inference for HDP paper
7DAB866E Expected and Unexpected Uncertainty: ACh and NE in the Neocortex paper
7E48FB40 A kernel method for multi-labelled classification paper
7DC0CE44 Approximating posterior distributions in belief networks using mixtures paper
7F68C632 Stability-Based Model Selection paper
7F814FE1 Semi-supervised Learning with Penalized Probabilistic Clustering paper
7E9FD34D Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms paper
80D3D454 Manifold Parzen Windows paper
80C7F0A7 Hierarchical Clustering of a Mixture Model paper
81476575 Learning Many Related Tasks at the Same Time with Backpropagation paper
8064C3DE Computing with Infinite Networks paper
7EC47A37 How fast to work: Response vigor, motivation and tonic dopamine paper
8023FF54 Sparse representation for Gaussian process models paper
7ECE9285 Isotonic Conditional Random Fields and Local Sentiment Flow paper
7CB44254 Stable fixed points of loopy belief propagation are minima of the Bethe free energy paper
806A630A Learning with Local and Global Consistency paper
7F82E1E0 Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement paper
7F5B428B Online Learning with Kernels paper
7F7ACEF5 A Growing Neural Gas Network Learns Topologies paper
7DA1553A Mismatch String Kernels for SVM Protein Classification paper
80367699 Modeling User Rating Profiles For Collaborative Filtering paper
7E8F4CD1 Spectral Kernel Methods for Clustering paper
807EBB91 Rapid Visual Processing using Spike Asynchrony paper
7EF31C54 Using genetic algorithms to improve pattern classification performance paper
80511DBD Result Analysis of the NIPS 2003 Feature Selection Challenge paper
7F974DE6 Learning continuous attractors in recurrent networks paper
809CE4F8 Independent component analysis of electroencephalographic data paper
80935941 The Power of Amnesia paper
7D07E189 Goal-Based Imitation as Probabilistic Inference over Graphical Models paper
7EB5DDC4 SARDNET: A Self-Organizing Feature Map for Sequences paper
7D9902FF Random Projections for Manifold Learning paper
7ED0EC5F A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization paper
7E870311 Active Learning for Anomaly and Rare-Category Detection paper
7DAACFDE The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity paper
7DFD802A Transfer learning for text classification paper
7D771105 Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade paper
7FF47AF9 Semi-supervised Learning on Directed Graphs paper
80493291 Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation paper
7F21521F A Mathematical Programming Approach to the Kernel Fisher Algorithm paper
80B625DB Generalized prioritized sweeping paper
813C31B9 The unified propagation and scaling algorithm paper
7EC8C395 Data Clustering by Markovian Relaxation and the Information Bottleneck Method paper
802EC48C Learning Sparse Multiscale Image Representations paper
7E41788E Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms paper
7DA00BD0 Contextual models for object detection using boosted random fields paper
812B9885 Policy Search for Motor Primitives in Robotics paper
8001AD03 Analyzing and visualizing single-trial event-related potentials paper
7D3D32F6 The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search paper
7D4203A2 Loop Series and Bethe Variational Bounds in Attractive Graphical Models paper
7EB17AC3 Learning Visual Attributes paper
7FE3BA14 Mind the Duality Gap: Logarithmic regret algorithms for online optimization paper
812AE8B3 Fast Exact Inference with a Factored Model for Natural Language Parsing paper
7F3E27B7 Multiagent Planning with Factored MDPs paper
5C0E5861 Improving the accuracy and speed of support vector learning machines paper
807D07CA Note on learning rate schedules for stochastic optimization paper
80D600FE Finding the M Most Probable Configurations using Loopy Belief Propagation paper
816C32E8 Characterizing Neural Gain Control using Spike-triggered Covariance paper
810E97B7 Structural Risk Minimization for Character Recognition paper
7DE85DB4 Privacy-preserving logistic regression paper
7EECACCA Kernel Methods for Implicit Surface Modeling paper
814779D4 Exact Solutions to Time-Dependent MDPs paper
7D7EA73A Learning in Silicon: Timing is Everything paper
813C8622 Mixture Density Estimation paper
8119F87D Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation paper
7D3C0C9B Approximate Correspondences in High Dimensions paper
7EFD7338 PG-means: learning the number of clusters in data. paper
8017AF4F Spatial Latent Dirichlet Allocation paper
7FA68EFE New approximations of differential entropy for independent component analysis and projection pursuit paper
7F4681AD SpAM: Sparse Additive Models paper
8056D927 Hierarchical Memory-Based Reinforcement Learning paper
7D2F0B41 A General Boosting Method and its Application to Learning Ranking Functions for Web Search paper
811CDA39 Analysis of Spectral Kernel Design based Semi-supervised Learning paper