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Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science Philip D. Laird 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
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | March 31, 1988 |
| ISBN13 | 9780898382631 |
| Publishers | Kluwer Academic Publishers |
| Pages | 212 |
| Dimensions | 162 × 240 × 18 mm · 503 g |
| Language | English |