Kernel Methods

Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Extended Grassmann Kernels for Subspace-Based Learning NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control NeurIPS 2008 Kernel Change-point Analysis NeurIPS 2008 Kernelized Sorting NeurIPS 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Multi-label Multiple Kernel Learning NeurIPS 2008 Performance analysis for L\_2 kernel classification NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 Relative Margin Machines NeurIPS 2008 Robust Kernel Principal Component Analysis NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Support Vector Machines with a Reject Option NeurIPS 2008 Theory of matching pursuit NeurIPS 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A Kernel Statistical Test of Independence NeurIPS 2007 An Analysis of Inference with the Universum NeurIPS 2007 A Risk Minimization Principle for a Class of Parzen Estimators NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007