Learning from good and bad data

Learning from good and bad data Learning from Good and Bad Data explains the firm theoretical foundation that underlies much of the experimental research in machine learning. While the thrust of the work is theoretical, the presentation is accessible to theorists and practitioners, specialists and nonspecialists in the rapidly developing field of machine learning. Empirical learning (learning from example) is studied mathematically in order to uncover the formal structures common to much of the artificial intelligence experimental work on the subject.

Authors: Laird P.D.Pages: 230     Year: 1988

Tags: laird bad data good data data learning
   

Customers who bought this item also bought:



Dleex

© 2007–2017 Dleex.

English      German      French      Russian

For any question please write to our email e-mail