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Matrix theory / Covariance and correlation / Data analysis / Matrices / Matrix / Multivariate normal distribution / Covariance matrix / Eigenvalues and eigenvectors / Covariance / Algebra / Linear algebra / Mathematics


Large Scale Distributed Sparse Precision Estimation Huahua Wang, Arindam Banerjee Dept. of Computer Science & Engg, University of Minnesota, Twin Cities {huwang,banerjee}@cs.umn.edu Cho-Jui Hsieh, Pradeep Ravikumar, Ind
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Document Date: 2013-11-11 22:32:08


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IBM / /

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Facility

Information Superhighway / University of Minnesota Supercomputing Institute / University of Minnesota / University of Texas / /

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parallel matrix multiplication algorithm / matrix inner product / unsupervised learning using graphics processors / machine learning algorithms / optimization algorithms / double-loop algorithm / simplified data processing / http /

Organization

National Science Foundation / American Statistical Association / University of Minnesota Supercomputing Institute / University of Minnesota / University of Texas / /

Person

A. Y. Ng / J. Choi / R.C. Whaley / R. Raina / R. Van De Geijn / K. Stanley D. Walker / P. Tucker / K. Goto / G. Henry A. Petitet / Cho-Jui Hsieh / A. Madhavan / D. Walker L. Blackford / K. Yang / /

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Minnesota / A. B. / /

Technology

deep unsupervised learning using graphics processors / machine learning algorithms / load balancing / proposed CLIME-ADMM algorithm / parallel matrix multiplication algorithm / gene expression / optimization algorithms / Lasso algorithms / ADMM algorithm / 2 Algorithm / gradient descent algorithms / Machine Learning / Alternating direction algorithms / shared memory / Operating Systems / double-loop algorithm / /

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http /

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