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Systems That Learn: An Introduction to Learning Theory - Jain, Sanjay Royer, James S. Sharma, Arun Kumar
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Jain, Sanjay Royer, James S. Sharma, Arun Kumar:
Systems That Learn: An Introduction to Learning Theory - hardcover

ISBN: 9780262100779

[ED: Hardcover], [PU: MIT PR], Formal learning theory is one of several mathematical approaches to thestudy of intelligent adaptation to the environment. The analysis developed in thisbook is based on a number theoretical approach to learning and uses the tools ofrecursive-function theory to understand how learners come to an accurate view ofreality. This revised and expanded edition of a successful text provides acomprehensive, self-contained introduction to the concepts and techniques of thetheory. Exercises throughout the text provide experience in the use of computationalarguments to prove facts about learning.329 p.Versandfertig in über 4 Wochen, [SC: 0.00]

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Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change) - Sharma, Arun, Royer, James S., Osherson, Daniel N., Jain, Sanjay
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Sharma, Arun, Royer, James S., Osherson, Daniel N., Jain, Sanjay:
Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change) - hardcover

1999, ISBN: 0262100770

ID: 20397901760

[EAN: 9780262100779], Gebraucht, guter Zustand, [PU: A Bradford Book], Psychology & Psychiatry|Cognitive Psychology, Computers & the Internet|Artificial Intelligence, Computers & the Internet|Computer Science, May contain slight cover/edge wear. Inside is in mint condition. Ships Fast! Satisfaction Guaranteed!

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Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change) - Jain, Sanjay; Osherson, Daniel N.; Royer, James S.; Sharma, Arun
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Jain, Sanjay; Osherson, Daniel N.; Royer, James S.; Sharma, Arun:
Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change) - hardcover

ISBN: 0262100770

ID: 22389819161

[EAN: 9780262100779], Gebraucht, guter Zustand, [PU: A Bradford Book], Psychology & Psychiatry|Cognitive Psychology, Computers & the Internet|Artificial Intelligence, Computers & the Internet|Computer Science, 0262100770 Like New Condition.

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Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change) - Jain, Sanjay; Osherson, Daniel N.; Royer, James S.; Sharma, Arun
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Jain, Sanjay; Osherson, Daniel N.; Royer, James S.; Sharma, Arun:
Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change) - hardcover

ISBN: 0262100770

ID: 12006632305

[EAN: 9780262100779], Fine, [PU: A Bradford Book], 0262100770 May have publisher overstock mark.

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Systems That Learn, second edition - Jain, Osherson, royer, Sharma
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Jain, Osherson, royer, Sharma:
Systems That Learn, second edition - hardcover

1999, ISBN: 9780262100779

ID: 900932431

pub by MIT, 1999. hardback book and DJ, NF/NF. name inside. ISBN: 0-262-10077-0

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Details of the book
Systems That Learn: An Introduction to Learning Theory

Formal learning theory is one of several mathematical approaches to thestudy of intelligent adaptation to the environment. The analysis developed in thisbook is based on a number theoretical approach to learning and uses the tools ofrecursive-function theory to understand how learners come to an accurate view ofreality. This revised and expanded edition of a successful text provides acomprehensive, self-contained introduction to the concepts and techniques of thetheory. Exercises throughout the text provide experience in the use of computationalarguments to prove facts about learning.

Details of the book - Systems That Learn: An Introduction to Learning Theory


EAN (ISBN-13): 9780262100779
ISBN (ISBN-10): 0262100770
Hardcover
Publishing year: 1999
Publisher: MIT PR
317 Pages
Weight: 0,803 kg
Language: eng/Englisch

Book in our database since 06.05.2007 17:10:47
Book found last time on 27.07.2017 10:45:02
ISBN/EAN: 0262100770

ISBN - alternate spelling:
0-262-10077-0, 978-0-262-10077-9


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