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Papers (including subtopics)

Sparse Online Learning via Truncated Gradient NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Sparsity of SVMs that use the epsilon-insensitive loss NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Spectral Hashing NeurIPS 2008 Spike Feature Extraction Using Informative Samples NeurIPS 2008 Stationary Features and Cat Detection JMLR 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Structured ranking learning using cumulative distribution networks NeurIPS 2008 Super-Flexible Skin Sensors Embedded on the Whole Body, Self-Organizing Based on Haptic Interactions RSS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Support Vector Machinery for Infinite Ensemble Learning JMLR 2008 Support Vector Machines with a Reject Option NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 Theory of matching pursuit NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008