Classification

A Theory of Multiclass Boosting NeurIPS 2010 Avoiding False Positive in Multi-Instance Learning NeurIPS 2010 Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010 Boosted Optimization for Network Classification AISTATS 2010 Boosting Classifier Cascades NeurIPS 2010 Classification Methods with Reject Option Based on Convex Risk Minimization JMLR 2010 Classification Using Geometric Level Sets JMLR 2010 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Composite Binary Losses JMLR 2010 Consensus-Based Distributed Support Vector Machines JMLR 2010 Convexity of Proper Composite Binary Losses AISTATS 2010 Convex Multiple-Instance Learning by Estimating Likelihood Ratio NeurIPS 2010 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010 Decoding Ipsilateral Finger Movements from ECoG Signals in Humans NeurIPS 2010 Direct Loss Minimization for Structured Prediction NeurIPS 2010 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Discriminative Topic Segmentation of Text and Speech AISTATS 2010 Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Ellipsoidal Support Vector Machines ACML 2010 Empirical Bernstein Boosting AISTATS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Error-Correcting Output Codes Library JMLR 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010