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Kernel Methods

571 directly classified papers

Papers per year

Papers

Nonlinear functional regression: a functional RKHS approach AISTATS 2010
Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NIPS 2010
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NIPS 2010
Inductive Regularized Learning of Kernel Functions NIPS 2010
Avoiding False Positive in Multi-Instance Learning NIPS 2010
A Novel Kernel for Learning a Neuron Model from Spike Train Data NIPS 2010
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
Unsupervised Kernel Dimension Reduction NIPS 2010
Multiple Kernel Learning and the SMO Algorithm NIPS 2010
Universal Kernels on Non-Standard Input Spaces NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Universal Consistency of Multi-Class Support Vector Classification NIPS 2010
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
Semi-supervised Learning using Sparse Eigenfunction Bases NIPS 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Ensemble Nystrom Method NIPS 2009
The Ordered Residual Kernel for Robust Motion Subspace Clustering NIPS 2009
Linear-time Algorithms for Pairwise Statistical Problems NIPS 2009
Multiple Incremental Decremental Learning of Support Vector Machines NIPS 2009
Learning Non-Linear Combinations of Kernels NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009