Found: 20
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Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 1
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Ranking Forests.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 39
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Universal Consistency of Localized Versions of Regularized Kernel Methods.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 153
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Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 187
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MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 209
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Sparse Single-Index Model.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 243
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Derivative Estimation with Local Polynomial Fitting.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 281
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Using Symmetry and Evolutionary Search to Minimize Sorting Networks.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 303
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A Framework for Evaluating Approximation Methods for Gaussian Process Regression.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 333
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Risk Bounds of Learning Processes for Lévy Processes.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 351
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Learning Theory Approach to Minimum Error Entropy Criterion.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 377
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Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 399
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A Theory of Multiclass Boosting.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 437
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Algorithms for Discovery of Multiple Markov Boundaries.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 499
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Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 567
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Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 601
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A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 625
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CODA: High Dimensional Copula Discriminant Analysis.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 629
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Bayesian Nonparametric Hidden Semi-Markov Models.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 673
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Differential Privacy for Functions and Functional Data.
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- Journal of Machine Learning Research, 2013, v. 14, n. 1, p. 703
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- Article