Supervised Learning

Structured Learning with Approximate Inference NeurIPS 2007 Supervised Topic Models NeurIPS 2007 A Humanlike Predictor of Facial Attractiveness NeurIPS 2006 A Kernel Method for the Two-Sample-Problem NeurIPS 2006 A Scalable Machine Learning Approach to Go NeurIPS 2006 Chained Boosting NeurIPS 2006 Considering Cost Asymmetry in Learning Classifiers JMLR 2006 Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006 Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006 Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006 Large Scale Hidden Semi-Markov SVMs NeurIPS 2006 Large Scale Multiple Kernel Learning JMLR 2006 Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NeurIPS 2006 Nonlinear physically-based models for decoding motor-cortical population activity NeurIPS 2006 Robotic Grasping of Novel Objects NeurIPS 2006 Scalable Discriminative Learning for Natural Language Parsing and Translation NeurIPS 2006 Some Discriminant-Based PAC Algorithms JMLR 2006 Streamwise Feature Selection JMLR 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006 Learning the Kernel Function via Regularization JMLR 2005 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004 Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004