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Kernel Methods

642 papers

Papers per year

9
23
20
31
19
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Papers

The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NIPS 2011
Nonlinear Online Classification Algorithm with Probability Margin ACML 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Unsupervised Multiple Kernel Learning ACML 2011
Learning low-rank output kernels ACML 2011
Generative Kernels for Exponential Families AISTATS 2011
Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011
Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Efficient and Effective Visual Codebook Generation Using Additive Kernels JMLR 2011
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
Universal Consistency of Multi-Class Support Vector Classification NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Universal Kernels on Non-Standard Input Spaces NIPS 2010
Multiple Kernel Learning and the SMO Algorithm NIPS 2010
Unsupervised Kernel Dimension Reduction NIPS 2010
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
A Novel Kernel for Learning a Neuron Model from Spike Train Data NIPS 2010
Avoiding False Positive in Multi-Instance Learning NIPS 2010
Inductive Regularized Learning of Kernel Functions NIPS 2010
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NIPS 2010
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010