Co-occurring keywords · papers mentioning both
Papers
Learning Non-Linear Combinations of Kernels
NeurIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences
JMLR 2009
Refinement of Reproducing Kernels
JMLR 2009
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
NeurIPS 2008
Relative Margin Machines
NeurIPS 2008
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
NeurIPS 2007
Gaussian and Wishart Hyperkernels
NeurIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning
NeurIPS 2006