Classification

DUOL: A Double Updating Approach for Online Learning NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NeurIPS 2009 Estimating Labels from Label Proportions JMLR 2009 Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods JMLR 2009 Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions JMLR 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Fast subtree kernels on graphs NeurIPS 2009 Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination JMLR 2009 Free energy score space NeurIPS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 Hash Kernels for Structured Data JMLR 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NeurIPS 2009 Java-ML: A Machine Learning Library JMLR 2009 Kernel Methods for Deep Learning NeurIPS 2009 Label Selection on Graphs NeurIPS 2009 Learning Approximate Sequential Patterns for Classification JMLR 2009 Learning Halfspaces with Malicious Noise JMLR 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009 Learning Nondeterministic Classifiers JMLR 2009 Learning of 2D grasping strategies from box-based 3D object approximations RSS 2009 Learning When Concepts Abound JMLR 2009