kernel methods

The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009 When Is There a Representer Theorem? Vector Versus Matrix Regularizers JMLR 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis NeurIPS 2008 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008 Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods JMLR 2008 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection 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 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 Similarity with Operator-valued Large-margin Classifiers JMLR 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Model Selection in Kernel Based Regression using the Influence Function JMLR 2008 Multi-label Multiple Kernel Learning NeurIPS 2008