Sparse Spectrum Gaussian Process

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Dimensionality Reduction via Sparse Support Vector Machines     (Kernel Machines Section).pdf

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High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical

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Energy-Based Models for Sparse Overcomplete

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Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer

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Sparse

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Estimation of Sparse Binary Pairwise Markov Networks using

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Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and

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Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming     

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A Unifying View of Sparse Approximate Gaussian Process

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