
Tell your friends about this item:
Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science 1988 edition
Philip D. Laird
Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science 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
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 |
See all of Philip D. Laird ( e.g. Hardcover Book and Paperback Book )