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Sparse Modeling: Theory, Algorithms, and Applications - Chapman & Hall / CRC Machine Learning & Pattern Recognition Rish, Irina (IBM, Yorktown Heights, New York, USA) 第1 版
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発送予定日 年10月12日 - 年10月28日
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Sparse Modeling: Theory, Algorithms, and Applications - Chapman & Hall / CRC Machine Learning & Pattern Recognition
Rish, Irina (IBM, Yorktown Heights, New York, USA)
Sparse modeling is an important issue in many applications of machine learning and statistics where the main objective is discovering predictive patterns in data to enhance understanding of underlying physical, biological, and other natural processes. This book surveys recent advances in statistics, machine learning, and signal processing related to sparse modeling. It provides a comprehensive introduction to recent developments in sparse modeling research, including the theoretical basis for sparse modeling, algorithmic approaches, and applications to computational biology, medicine, neuroscience, graphical model selection, and compressed sensing.
253 pages, 52 black & white illustrations, 7 colour illustrations
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2014年12月1日 |
| ISBN13 | 9781439828694 |
| 出版社 | Taylor & Francis Inc |
| ページ数 | 254 |
| 寸法 | 244 × 166 × 20 mm · 542 g |
| 言語 | 英語 |
