Sparse Learning Under Regularization Framework

by Michael R. Lyu, Irwin King, Haiqin Yang

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Regularization is a dominant theme in machine learning and statistics due to its prominent ability in providing an intuitive and principled tool for learning from high-dimensional data. As large-scale... This description may be from another edition of this product.

Format:Paperback

Language:English

ISBN:3844330305

ISBN13:9783844330304

Release Date:April 2011

Publisher:LAP Lambert Academic Publishing

Length:152 Pages

Weight:0.51 lbs.

Dimensions:0.3" x 6.0" x 9.0"

Related Subjects

Computers Computers & Technology

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Sparse Learning Under Regularization Framework

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