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Statistical Learning

4076 directly classified papers

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Papers

Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007
Cluster Stability for Finite Samples NIPS 2007
Testing for Homogeneity with Kernel Fisher Discriminant Analysis NIPS 2007
Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007
Estimating disparity with confidence from energy neurons NIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
Statistical Analysis of Semi-Supervised Regression NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
An online Hebbian learning rule that performs Independent Component Analysis NIPS 2007
The Distribution Family of Similarity Distances NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
Optimal ROC Curve for a Combination of Classifiers NIPS 2007
Combining PAC-Bayesian and Generic Chaining Bounds JMLR 2007
Separating Models of Learning from Correlated and Uncorrelated Data JMLR 2007
Variational inference for Markov jump processes NIPS 2007
Receptive Fields without Spike-Triggering NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007