Classification

Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Support Vector Machinery for Infinite Ensemble Learning JMLR 2008 Support Vector Machines with a Reject Option NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008 Trust Region Newton Method for Logistic Regression JMLR 2008 Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing NeurIPS 2008 Using Markov Blankets for Causal Structure Learning JMLR 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007 AdaBoost is Consistent JMLR 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 A learning framework for nearest neighbor search NeurIPS 2007 An Analysis of Inference with the Universum NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression JMLR 2007 Anytime Induction of Cost-sensitive Trees NeurIPS 2007 Anytime Learning of Decision Trees JMLR 2007 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 A Risk Minimization Principle for a Class of Parzen Estimators NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 Attribute-Efficient and Non-adaptive Learning of Parities and DNF Expressions JMLR 2007 Automatic Generation of Social Tags for Music Recommendation NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Quadratic Discriminant Analysis JMLR 2007