Classification

Online Anomaly Detection under Adversarial Impact AISTATS 2010 Online Classification with Specificity Constraints NeurIPS 2010 Online Passive-Aggressive Algorithms on a Budget AISTATS 2010 On the Foundations of Noise-free Selective Classification JMLR 2010 Permutation Tests for Studying Classifier Performance JMLR 2010 Phoneme Recognition with Large Hierarchical Reservoirs NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Quadratic Programming Feature Selection JMLR 2010 Reducing Label Complexity by Learning From Bags AISTATS 2010 Regularized Discriminant Analysis, Ridge Regression and Beyond JMLR 2010 Relaxed Clipping: A Global Training Method for Robust Regression and Classification NeurIPS 2010 Reverse Multi-Label Learning NeurIPS 2010 (RF)^2 -- Random Forest Random Field NeurIPS 2010 Second-Order Bilinear Discriminant Analysis JMLR 2010 Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010 Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010 Semi-Supervised Novelty Detection JMLR 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades NeurIPS 2010 Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010 Spatial and anatomical regularization of SVM for brain image analysis NeurIPS 2010 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010 Static Analysis of Binary Executables Using Structural SVMs NeurIPS 2010 Structured Prediction Cascades AISTATS 2010 Structured Sparse Principal Component Analysis AISTATS 2010