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Multi-Objective Machine Learning - Studies in Computational Intelligence Softcover reprint of hardcover 1st ed. 2006 edition
Yaochu Jin
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Multi-Objective Machine Learning - Studies in Computational Intelligence Softcover reprint of hardcover 1st ed. 2006 edition
Yaochu Jin
This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
660 pages, 254 black & white illustrations, 104 black & white tables, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 22, 2010 |
| ISBN13 | 9783642067969 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 660 |
| Dimensions | 155 × 235 × 34 mm · 929 g |
| Editor | Jin, Yaochu |
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