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Kernel Methods

571 directly classified papers

Papers per year

Papers

On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Kernel Hyperalignment NIPS 2012
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NIPS 2012
Two-Layer Multiple Kernel Learning AISTATS 2011
Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011
Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011
Generative Kernels for Exponential Families AISTATS 2011
Efficient and Effective Visual Codebook Generation Using Additive Kernels JMLR 2011
Unsupervised Multiple Kernel Learning ACML 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NIPS 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NIPS 2011
Learning low-rank output kernels ACML 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Nonlinear Online Classification Algorithm with Probability Margin ACML 2011
Metric Learning with Multiple Kernels NIPS 2011
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NIPS 2011
On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Online Passive-Aggressive Algorithms on a Budget AISTATS 2010
On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010
Nonparametric Tree Graphical Models AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010