Mathematics

Learning the structure of manifolds using random projections NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modeling Natural Sounds with Modulation Cascade Processes NeurIPS 2007 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007 Polynomial Identification in the Limit of Substitutable Context-free Languages JMLR 2007 Random Projections for Manifold Learning NeurIPS 2007 Refinable Kernels JMLR 2007 Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 The Distribution Family of Similarity Distances NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 Undercomplete Blind Subspace Deconvolution JMLR 2007 Variational Inference for Diffusion Processes NeurIPS 2007 Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006 Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NeurIPS 2006 An Information Theoretic Framework for Eukaryotic Gradient Sensing NeurIPS 2006 Approximate inference using planar graph decomposition NeurIPS 2006 A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 A Small World Threshold for Economic Network Formation NeurIPS 2006 Blind source separation for over-determined delayed mixtures NeurIPS 2006 Computing Smooth Feedback Plans Over Cylindrical Algebraic Decompositions RSS 2006