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Papers (including subtopics)

Time-Varying Dynamic Bayesian Networks NeurIPS 2009 Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 Tracking Dynamic Sources of Malicious Activity at Internet Scale NeurIPS 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NeurIPS 2009 Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009 Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009 Unsupervised discovery of object classes from range data using latent Dirichlet allocation RSS 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009 Using Local Dependencies within Batches to Improve Large Margin Classifiers JMLR 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 When Is There a Representer Theorem? Vector Versus Matrix Regularizers JMLR 2009 Which graphical models are difficult to learn? NeurIPS 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NeurIPS 2009 A Bahadur Representation of the Linear Support Vector Machine JMLR 2008 Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 Adaptive Martingale Boosting NeurIPS 2008 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008 Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008 Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008 A Library for Locally Weighted Projection Regression JMLR 2008 A Massively Parallel Digital Learning Processor NeurIPS 2008 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 A Moment Bound for Multi-hinge Classifiers JMLR 2008