Mathematics

An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008 A Recursive Method for Structural Learning of Directed Acyclic Graphs JMLR 2008 Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes JMLR 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NeurIPS 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Empirical performance maximization for linear rank statistics NeurIPS 2008 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 Forecasting Web Page Views: Methods and Observations JMLR 2008 Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008 Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns JMLR 2008 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 Kernelized Sorting NeurIPS 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008