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On Learning Thresholds of Parities and Unions of Rectangles in Random Walk Models

Computer Science – Learning
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On Optimality of Greedy Policy for a Class of Standard Reward Function of Restless Multi-armed Bandit Problem

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On Probability Distributions for Trees: Representations, Inference and Learning

Computer Science – Learning
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On q-Gaussian kernel and its Reproducing Kernel Hilbert Space

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On Recovery of Sparse Signals via $\ell_1$ Minimization

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On sample complexity for computational pattern recognition

Computer Science – Learning
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On Sequence Prediction for Arbitrary Measures

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On the clustering aspect of nonnegative matrix factorization

Computer Science – Learning
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On the Convergence Speed of MDL Predictions for Bernoulli Sequences

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On the Doubt about Margin Explanation of Boosting

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On the Dual Formulation of Boosting Algorithms

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On the Equivalence between Herding and Conditional Gradient Algorithms

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On the Existence and Convergence Computable Universal Priors

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On the Finite Time Convergence of Cyclic Coordinate Descent Methods

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On the Foundations of Adversarial Single-Class Classification

Computer Science – Learning
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On the Foundations of Universal Sequence Prediction

Computer Science – Learning
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On the Job Training

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On the limitations of thought experiments in physics and the consequences for physics teaching

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On the monotonization of the training set

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On the Necessity of Irrelevant Variables

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