conftrace_
← Core Methods
Machine Learning › Core Methods ›

Kernel Methods

642 papers

Papers per year

9
23
20
31
19
'05
'10
'15
'20
'25

Papers

Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NIPS 2006
implicit Online Learning with Kernels NIPS 2006
Gaussian and Wishart Hyperkernels NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006
Fundamental Limitations of Spectral Clustering NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
Large Scale Hidden Semi-Markov SVMs NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005
Learning Multiple Tasks with Kernel Methods JMLR 2005
Learning the Kernel with Hyperkernels JMLR 2005
Learning the Kernel Function via Regularization JMLR 2005
Semigroup Kernels on Measures JMLR 2005
Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005