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kernel learning

102 papers

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Co-occurring keywords

kernel methods (1097) gaussian process (1200) reproducing kernel hilbert space (334) kernel matrix (73) multiple kernel learning (80) bayesian optimization (624) support vector machine (978) bayesian inference (1907) determinantal point process (140) maximum mean discrepancy (164)

Papers

Quantized Kernel Learning for Feature Matching NIPS 2014
Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014
Learning the Parameters of Determinantal Point Process Kernels ICML 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Fast Kernel Learning for Multidimensional Pattern Extrapolation NIPS 2014
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014
Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013
Learning Kernels Using Local Rademacher Complexity NIPS 2013
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Multiple Operator-valued Kernel Learning NIPS 2012
The Lovász ϑ function, SVMs and finding large dense subgraphs NIPS 2012
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012
Learning to Locate Relative Outliers ACML 2011
Additive Gaussian Processes NIPS 2011
A Novel Kernel for Learning a Neuron Model from Spike Train Data NIPS 2010
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
Refinement of Reproducing Kernels JMLR 2009
Learning Non-Linear Combinations of Kernels NIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007