Learning from Good and Bad Data - The Springer International Series in Engineering and Computer Science - Philip D. Laird - Books - Springer-Verlag New York Inc. - 9781461289517 - October 5, 2011
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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

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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     Paperback Book   (Book with soft cover and glued back)
Released October 5, 2011
ISBN13 9781461289517
Publishers Springer-Verlag New York Inc.
Pages 212
Dimensions 155 × 235 × 12 mm   ·   331 g
Language English  

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