Classification

Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NeurIPS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Greedy Model Averaging NeurIPS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011 Hashing Algorithms for Large-Scale Learning NeurIPS 2011 Hidden-Unit Conditional Random Fields AISTATS 2011 Hierarchically Supervised Latent Dirichlet Allocation NeurIPS 2011 History distribution matching method for predicting effectiveness of HIV combination therapies NeurIPS 2011 Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NeurIPS 2011 Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011 Improved Moves for Truncated Convex Models JMLR 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Information, Divergence and Risk for Binary Experiments JMLR 2011 Iterative Learning for Reliable Crowdsourcing Systems NeurIPS 2011 Large Margin Hierarchical Classification with Mutually Exclusive Class Membership JMLR 2011 Large-Scale Category Structure Aware Image Categorization NeurIPS 2011 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 Learning Anchor Planes for Classification NeurIPS 2011