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Sparse Modeling: Theory, Algorithms, and Applications - Chapman & Hall / CRC Machine Learning & Pattern Recognition Irina Rish 第1 版本
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元 843
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预计送达时间 年6月9日 - 年6月25日
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其他版本：
Sparse Modeling: Theory, Algorithms, and Applications - Chapman & Hall / CRC Machine Learning & Pattern Recognition
Irina Rish
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
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2014年12月1日 |
| ISBN13 | 9781439828694 |
| 出版商 | Taylor & Francis Inc |
| 页数 | 254 |
| 商品尺寸 | 244 × 166 × 20 mm · 542 g |
| 语言 | 英语 |
