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Statistical Learning

4,117 papers

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Papers

Modelling motion primitives and their timing in biologically executed movements NIPS 2007
Stability Bounds for Non-i.i.d. Processes NIPS 2007
Estimating disparity with confidence from energy neurons NIPS 2007
A general agnostic active learning algorithm NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Consistent Minimization of Clustering Objective Functions NIPS 2007
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
Separating Models of Learning from Correlated and Uncorrelated Data JMLR 2007
Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Value Regularization and Fenchel Duality JMLR 2007
Combining PAC-Bayesian and Generic Chaining Bounds JMLR 2007
Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007
Bayesian Quadratic Discriminant Analysis JMLR 2007
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007
AdaBoost is Consistent JMLR 2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007
Learning from Multiple Sources NIPS 2006
Geometric entropy minimization (GEM) for anomaly detection and localization NIPS 2006