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Multi-Objective Machine Learning - Studies in Computational Intelligence 2006 edition
George W. Ware
Multi-Objective Machine Learning - Studies in Computational Intelligence 2006 edition
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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