reproducing kernel hilbert space

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples JMLR 2006 Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006 Frames, Reproducing Kernels, Regularization and Learning JMLR 2005 Kernel Methods for Measuring Independence JMLR 2005 Learning the Kernel with Hyperkernels JMLR 2005 Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces JMLR 2004 Some Properties of Regularized Kernel Methods JMLR 2004 Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004 On the Performance of Kernel Classes JMLR 2003 Sparseness of Support Vector Machines JMLR 2003 Kernel Independent Component Analysis JMLR 2002 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002 Classes of Kernels for Machine Learning: A Statistics Perspective JMLR 2001 Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001