Combinatorial optimization layers for machine learning pipelines
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Updated
Aug 9, 2024 - Julia
Combinatorial optimization layers for machine learning pipelines
Application of InferOpt.jl to the Stochastic Vehicle Scheduling Problem
Neural Structured Learning (Adversarial) with TensorFlow
An open source package for performing supervised learning in structured prediction tasks. It implements conditional random fields (CRFs) models from (1) first-order to higher-order linear-chain CRFs, and from (2) first-order to higher-order semi-Markov CRFs (semi-CRFs)
An algorithm to detect leaders in social groups, based on Structured Support Vector Machines.
Structured Gradient Tree Boosting
Supervised learning and structured prediction
My thesis
Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)
Code for Joint Modeling of NER, Relation Extraction and Coreference Resolution using Constrained Conditional Models
Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)
Automatic Measurement of Vowel Duration for Consonant Vowel Consonant (CVC) sound files (JASA 2016)
CL Algorithm for Learning Bayesian Network Structures
Risk Minimization Algorithms in Structured Prediction (JMLR 2016)
Implementation of BatchSVM, introduced in Vural, Volkan, et al. "Using local dependencies within batches to improve large margin classifiers." Journal of machine learning research 10.Feb (2009): 183-206.
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