probability distribution

Learning Eigenvectors for Free NeurIPS 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 Spectral Regularization for Support Estimation NeurIPS 2010 A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Learning with Compressible Priors NeurIPS 2009 Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 Markov Chain Monte Carlo with People NeurIPS 2007 On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NeurIPS 2006