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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
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2011. gada 5. oktobris |
| ISBN13 | 9781461289517 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 212 |
| Izmēri | 155 × 235 × 12 mm · 331 g |
| Valoda | Angļu |
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