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Papers (including subtopics)

Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modelling motion primitives and their timing in biologically executed movements NeurIPS 2007 Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NeurIPS 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 Noise Tolerant Variants of the Perceptron Algorithm JMLR 2007 Nonlinear Boosting Projections for Ensemble Construction JMLR 2007 Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007 One-Pass Boosting NeurIPS 2007 On higher-order perceptron algorithms NeurIPS 2007 Online Learning of Multiple Tasks with a Shared Loss JMLR 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007 On Ranking in Survival Analysis: Bounds on the Concordance Index NeurIPS 2007 On Sparsity and Overcompleteness in Image Models NeurIPS 2007 On the Consistency of Multiclass Classification Methods JMLR 2007 On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007 On the Representer Theorem and Equivalent Degrees of Freedom of SVR JMLR 2007 Optimal models of sound localization by barn owls NeurIPS 2007 Optimal ROC Curve for a Combination of Classifiers NeurIPS 2007 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007 Polynomial Identification in the Limit of Substitutable Context-free Languages JMLR 2007