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Kernel Methods

571 directly classified papers

Papers per year

Papers

Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NIPS 2006
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees NIPS 2006
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NIPS 2006
Approximate Correspondences in High Dimensions NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006
Gaussian and Wishart Hyperkernels NIPS 2006
A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
Relational Learning with Gaussian Processes NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
Large Scale Hidden Semi-Markov SVMs NIPS 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Learning the Kernel with Hyperkernels JMLR 2005
Learning Multiple Tasks with Kernel Methods JMLR 2005