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Kernel Methods

571 directly classified papers

Papers per year

Papers

Analysis of SVM with Indefinite Kernels NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
A Fast, Consistent Kernel Two-Sample Test NIPS 2009
Accurate rough terrain estimation with space-carving kernels RSS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Kernel Methods for Deep Learning NIPS 2009
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Fast subtree kernels on graphs NIPS 2009
White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
An Extended Level Method for Efficient Multiple Kernel Learning NIPS 2008
Kernelized Sorting NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008
Kernel Change-point Analysis NIPS 2008
Performance analysis for L\_2 kernel classification NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Multi-label Multiple Kernel Learning NIPS 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Support Vector Machines with a Reject Option NIPS 2008