[PDF.11mu] Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers (Foundations and Trends(r) in Machine Learning)

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers (Foundations and Trends(r) in Machine Learning)

[PDF.wz32] Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers (Foundations and Trends(r) in Machine Learning)

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 | #2068483 in Books |  2011-05-23 | Original language:English | PDF # 1 |  9.21 x.30 x6.14l,.45 | File type: PDF | 140 pages

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Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be able to solve problems with a very large number of features or training examples. As a result, both the decentralized collection or storage of these datasets as well as accompanying distributed solution methods are either necessary or at least highly des...

You can specify the type of files you want, for your device.Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers (Foundations and Trends(r) in Machine Learning)   |  Stephen Boyd, Neal Parikh, Eric Chu. A good, fresh read, highly recommended.

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