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Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 1988 edition
Philip D. Laird
Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 1988 edition
Philip D. Laird
This monograph is a contribution to the study of the identification problem: the problem of identifying an item from a known class us ing positive and negative examples. * Study cognitive models of learning in humans and extrapolate from them general principles to explain learning behavior.
212 pages, biography
Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
Lançado | 5 de outubro de 2011 |
ISBN13 | 9781461289517 |
Editoras | Springer-Verlag New York Inc. |
Páginas | 212 |
Dimensões | 155 × 235 × 12 mm · 331 g |
Idioma | English |
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