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A sparsity preserving stochastic gradient methods for sparse regression.

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Title: A sparsity preserving stochastic gradient methods for sparse regression.
Authors: Lin, Qihang1, Chen, Xi2, Peña, Javier3, jfp@andrew.cmu.edu
Source: Computational Optimization & Applications; Jun2014, Vol. 58 Issue 2, p455-482, 28p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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        Value: 10.1007/s10589-013-9633-9
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        Text: English
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        StartPage: 455
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      – TitleFull: A sparsity preserving stochastic gradient methods for sparse regression.
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              Text: Jun2014
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              Y: 2014
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