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Kernel Methods

96 directly classified papers

Papers per year

Papers

Multiple Operator-valued Kernel Learning NIPS 2012
Kernel Hyperalignment NIPS 2012
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011
Kernel Bayes' Rule NIPS 2011
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
Inductive Regularized Learning of Kernel Functions NIPS 2010
A Novel Kernel for Learning a Neuron Model from Spike Train Data NIPS 2010
Efficient Recovery of Jointly Sparse Vectors NIPS 2009
Ensemble Nystrom Method NIPS 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
A Fast, Consistent Kernel Two-Sample Test NIPS 2009
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Multi-label Multiple Kernel Learning NIPS 2008
Learning with Transformation Invariant Kernels NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
Gaussian and Wishart Hyperkernels NIPS 2006
Fast Computation of Graph Kernels NIPS 2006