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Papers (including subtopics)

Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Measuring Differentiability: Unmasking Pseudonymous Authors JMLR 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007 Message Passing for Max-weight Independent Set NeurIPS 2007 Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Modeling Natural Sounds with Modulation Cascade Processes NeurIPS 2007 Modelling motion primitives and their timing in biologically executed movements NeurIPS 2007 Multi-class Protein Classification Using Adaptive Codes JMLR 2007 Multiple-Instance Pruning For Learning Efficient Cascade Detectors NeurIPS 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images 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 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 Object Recognition by Scene Alignment NeurIPS 2007 One-Pass Boosting NeurIPS 2007 On higher-order perceptron algorithms NeurIPS 2007 Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability RSS 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007