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Multi-Objective Machine Learning - Studies in Computational Intelligence Yaochu Jin Softcover reprint of hardcover 1st ed. 2006 edition
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Multi-Objective Machine Learning - Studies in Computational Intelligence
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 | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 22. november 2010 |
| ISBN13 | 9783642067969 |
| Utgivere | Springer-Verlag Berlin and Heidelberg Gm |
| Antall sider | 660 |
| Mål | 155 × 235 × 34 mm · 929 g |
| Språk | Tysk |
| Redaktør | Jin, Yaochu |
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