statistical learning

Sequential effects reflect parallel learning of multiple environmental regularities NeurIPS 2009 Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 Evidence Contrary to the Statistical View of Boosting JMLR 2008 Kernel Change-point Analysis NeurIPS 2008 Performance analysis for L\_2 kernel classification NeurIPS 2008 Rademacher Complexity Bounds for Non-I.I.D. Processes NeurIPS 2008 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 On the Representer Theorem and Equivalent Degrees of Freedom of SVR JMLR 2007 Progressive mixture rules are deviation suboptimal NeurIPS 2007 Statistical Analysis of Semi-Supervised Regression NeurIPS 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 The Tradeoffs of Large Scale Learning NeurIPS 2007 Active learning for misspecified generalized linear models NeurIPS 2006 AdaBoost is Consistent NeurIPS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Learning Minimum Volume Sets JMLR 2006 Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006 Analysis of Variance of Cross-Validation Estimators of the Generalization Error JMLR 2005 No Unbiased Estimator of the Variance of K-Fold Cross-Validation JMLR 2004 Machine Learning with Data Dependent Hypothesis Classes JMLR 2002