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Sparse Modeling: Theory, Algorithms, and Applications - Chapman & Hall / CRC Machine Learning & Pattern Recognition Irina Rish 1er édition
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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
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 1 décembre 2014 |
| ISBN13 | 9781439828694 |
| Éditeurs | Taylor & Francis Inc |
| Pages | 254 |
| Dimensions | 244 × 166 × 20 mm · 542 g |
| Langue et grammaire | Anglais |
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