kernel methods

Gaussian Processes for Ordinal Regression JMLR 2005 Kernel Methods for Measuring Independence JMLR 2005 Learning Multiple Tasks with Kernel Methods JMLR 2005 Learning the Kernel with Hyperkernels JMLR 2005 Maximum Margin Algorithms with Boolean Kernels JMLR 2005 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004 Knowledge-Based Kernel Approximation JMLR 2004 Probability Product Kernels JMLR 2004 Rational Kernels: Theory and Algorithms JMLR 2004 Some Properties of Regularized Kernel Methods JMLR 2004 Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004 The Entire Regularization Path for the Support Vector Machine JMLR 2004 The Minimum Error Minimax Probability Machine JMLR 2004 Kernel Methods for Relation Extraction JMLR 2003 Path Kernels and Multiplicative Updates JMLR 2003 Sparseness of Support Vector Machines JMLR 2003 Use of the Zero-Norm with Linear Models and Kernel Methods JMLR 2003 Word-Sequence Kernels JMLR 2003 Kernel Independent Component Analysis JMLR 2002 Minimal Kernel Classifiers JMLR 2002 Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002 Text Classification using String Kernels JMLR 2002 A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001 A New Approximate Maximal Margin Classification Algorithm JMLR 2001