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Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science Philip D. Laird Softcover reprint of the original 1st ed. 1988 edition
Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science
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
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 5. oktobra 2011 |
| ISBN13 | 9781461289517 |
| Založniki | Springer-Verlag New York Inc. |
| Strani | 212 |
| Dimenzije | 155 × 235 × 12 mm · 331 g |
| Jezik | Angleščina |
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