Classification

Dictionary Learning from Ambiguously Labeled Data CVPR 2013 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Learning with Noisy Labels NeurIPS 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Accuracy at the Top NeurIPS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NeurIPS 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Projection Retrieval for Classification NeurIPS 2012 Proper losses for learning from partial labels NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 History distribution matching method for predicting effectiveness of HIV combination therapies NeurIPS 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Pylon Model for Semantic Segmentation NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Variance Penalizing AdaBoost NeurIPS 2011 Active Learning Applied to Patient-Adaptive Heartbeat Classification NeurIPS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Online Classification with Specificity Constraints NeurIPS 2010