kernel methods

A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009 A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization JMLR 2009 Bounded Kernel-Based Online Learning JMLR 2009 Classification with Gaussians and Convex Loss JMLR 2009 Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods JMLR 2009 Dlib-ml: A Machine Learning Toolkit JMLR 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Hash Kernels for Structured Data JMLR 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Kernel Methods for Deep Learning NeurIPS 2009 Kernels and learning curves for Gaussian process regression on random graphs NeurIPS 2009 Learning Non-Linear Combinations of Kernels NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009 Nonextensive Information Theoretic Kernels on Measures JMLR 2009 Nonlinear directed acyclic structure learning with weakly additive noise models NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 Refinement of Reproducing Kernels JMLR 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Similarity-based Classification: Concepts and Algorithms JMLR 2009 Submanifold density estimation NeurIPS 2009