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Multi-Objective Machine Learning - Studies in Computational Intelligence George W. Ware 2006 edition
Multi-Objective Machine Learning - Studies in Computational Intelligence
George W. Ware
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 Hardcover Book (Book with hard spine and cover) |
| Released | February 10, 2006 |
| ISBN13 | 9783540306764 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 660 |
| Dimensions | 155 × 235 × 36 mm · 1.12 kg |
| Language | English |
| Editor | Jin, Yaochu |
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