supervised learning

Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Multi-Instance Multi-Label Learning with Application to Scene Classification NeurIPS 2006 On Transductive Regression NeurIPS 2006 Relational Learning with Gaussian Processes NeurIPS 2006 Robotic Grasping of Novel Objects NeurIPS 2006 A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes JMLR 2005 Active Learning For Outdoor Obstacle Detection RSS 2005 Supervised and Unsupervised Learning for Sentence Compression ACL 2005 Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005 Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces JMLR 2004 RCV1: A New Benchmark Collection for Text Categorization Research JMLR 2004 Benefitting from the Variables that Variable Selection Discards JMLR 2003 A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001