Systems that learn : an introduction to learning theory for cognitive and computer scientists / Daniel N. Osherson, Michael Stob, Scott Weinstein.
By: Osherson, Daniel N [author.]
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Contributor(s): Stob, Michael
| Weinstein, Scott
| IEEE Xplore (Online Service) [distributor.]
| MIT Press [publisher.]
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Material type: ![materialTypeLabel](/opac-tmpl/lib/famfamfam/BK.png)
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"A Bradford book."
Includes indexes.
Includes bibliographical references (p. )[195]-197.
Restricted to subscribers or individual electronic text purchasers.
Systems That Learn presents a mathematical framework for the study of learning in a variety of domains. It provides the basic concepts and techniques of learning theory as well as a comprehensive account of what is currently known about a variety of learning paradigms.Daniel N. Osherson and Scott Weinstein are at MIT, and Michael Stob at Calvin College.
Also available in print.
Mode of access: World Wide Web
Description based on PDF viewed 12/28/2015.
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