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Kernel Methods

571 directly classified papers

Papers per year

Papers

Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NIPS 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
Theory of matching pursuit NIPS 2008
Supervised Bipartite Graph Inference NIPS 2008
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control NIPS 2008
Fast Prediction on a Tree NIPS 2008
Robust Kernel Principal Component Analysis NIPS 2008
Relative Margin Machines NIPS 2008
Hierarchical Penalization NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Learning with Transformation Invariant Kernels NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Testing for Homogeneity with Kernel Fisher Discriminant Analysis NIPS 2007
Kernels on Attributed Pointsets with Applications NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
Convex Learning with Invariances NIPS 2007
Random Features for Large-Scale Kernel Machines NIPS 2007
Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007
Learnability of Gaussians with Flexible Variances JMLR 2007
Large Scale Multiple Kernel Learning JMLR 2006
implicit Online Learning with Kernels NIPS 2006