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Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Mit Press Series in Learning, Development, and Conceptual Ch) - Softcover
Synopsis
A mathematical framework for the study of learning in a variety of domains.
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.
"synopsis" may belong to another edition of this title.
About the Author
Daniel N. Osherson is at MIT.
Review
" This is highly original and interesting research. "Systems That Learn" is an important addition to human knowledge and an incipient classic." -- Steven Pinker, MIT
" "Systems That Learn" is a book that has much to offer... Osherson, Stob, and Weinstein provide an interesting contrast to most of the learning work done either in psychology or artificial intelligence." -- "Contemporary Psychology"
& quot; This is highly original and interesting research. Systems That Learn is an important addition to human knowledge and an incipient classic.& quot; -- Steven Pinker, MIT
& quot; Systems That Learn is a book that has much to offer... Osherson, Stob, and Weinstein provide an interesting contrast to most of the learning work done either in psychology or artificial intelligence.& quot; -- Contemporary Psychology
"
""Systems That Learn" is a book that has much to offer... Osherson, Stob, and Weinstein provide an interesting contrast to most of the learning work done either in psychology or artificial intelligence."--"Contemporary Psychology"
"This is highly original and interesting research. "Systems That Learn" is an important addition to human knowledge and an incipient classic."--Steven Pinker, MIT
"About this title" may belong to another edition of this title.
- PublisherMIT Press
- Publication date1990
- ISBN 10 026265024X
- ISBN 13 9780262650243
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages230
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