kernel methods

Exclusive Lasso for Multi-task Feature Selection AISTATS 2010 Image Denoising with Kernels Based on Natural Image Relations JMLR 2010 Kernel Partial Least Squares is Universally Consistent AISTATS 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010 Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Linear Algorithms for Online Multitask Classification JMLR 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Nonlinear functional regression: a functional RKHS approach AISTATS 2010 Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable NeurIPS 2010 Nonparametric Tree Graphical Models AISTATS 2010 Online Passive-Aggressive Algorithms on a Budget AISTATS 2010 On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010 On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010 Spectral Regularization for Support Estimation NeurIPS 2010 The Feature Selection Path in Kernel Methods AISTATS 2010 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010 Tree Decomposition for Large-Scale SVM Problems JMLR 2010 Universal Consistency of Multi-Class Support Vector Classification NeurIPS 2010 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 Unsupervised Kernel Dimension Reduction NeurIPS 2010