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1219 directly classified papers

Papers per year

Papers

An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008
Near-minimax recursive density estimation on the binary hypercube NIPS 2008
Estimation of Information Theoretic Measures for Continuous Random Variables NIPS 2008
Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
Theory of matching pursuit NIPS 2008
Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007
Testing for Homogeneity with Kernel Fisher Discriminant Analysis NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
How SVMs can estimate quantiles and the median NIPS 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Distances between Data Sets Based on Summary Statistics JMLR 2007
Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006
Towards a general independent subspace analysis NIPS 2006
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006
Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005
Information Bottleneck for Gaussian Variables JMLR 2005
Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002