kernel methods

Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression JMLR 2007 Hierarchical Penalization NeurIPS 2007 Kernel Measures of Conditional Dependence NeurIPS 2007 Kernels on Attributed Pointsets with Applications NeurIPS 2007 Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007 Learning with Transformation Invariant Kernels NeurIPS 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Random Projections for Manifold Learning NeurIPS 2007 Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 Active learning for misspecified generalized linear models NeurIPS 2006 A Kernel Method for the Two-Sample-Problem NeurIPS 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006 Approximate Correspondences in High Dimensions NeurIPS 2006 Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006 Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NeurIPS 2006 Denoising and Dimension Reduction in Feature Space NeurIPS 2006 Fast Computation of Graph Kernels NeurIPS 2006 Fast Iterative Kernel PCA NeurIPS 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006