Systems That Learn - An Introduction to Learning Theory for Cognitive and Computer Scientists (Paperback, New Ed)
Daniel N. Osherson, Michael Stob, Scott WeinsteinSystems 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.
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Product Description
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.
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Product Details
General
Imprint | MIT Press |
Country of origin | United States |
Series | Systems That Learn |
Release date | March 1990 |
Availability | Expected to ship within 10 - 15 working days |
First published | 1990 |
Authors | Daniel N. Osherson, Michael Stob, Scott Weinstein |
Dimensions | 229 x 152 x 25mm (L x W x T) |
Format | Paperback - Trade |
Pages | 205 |
Edition | New Ed |
ISBN-13 | 978-0-262-65024-3 |
Barcode | 9780262650243 |
Categories | |
LSN | 0-262-65024-X |
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