Systems That Learn
An Introduction to Learning Theory for Cognitive and Computer Scientists
Seiten
1990
MIT Press (Verlag)
978-0-262-65024-3 (ISBN)
MIT Press (Verlag)
978-0-262-65024-3 (ISBN)
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.
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 is at MIT. Michael Stob at Calvin College. Scott Weinstein is at MIT.
Reihe/Serie | Systems That Learn |
---|---|
Verlagsort | Cambridge, Mass. |
Sprache | englisch |
Gewicht | 413 g |
Themenwelt | Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie |
Geisteswissenschaften ► Psychologie ► Pädagogische Psychologie | |
Mathematik / Informatik ► Informatik ► Betriebssysteme / Server | |
ISBN-10 | 0-262-65024-X / 026265024X |
ISBN-13 | 978-0-262-65024-3 / 9780262650243 |
Zustand | Neuware |
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