Machine Learning of Inductive Bias

Language: English

Published by Springer, Springer Jun 1986, 1986

0898382238 / 9780898382235

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This item is printed on demand - Print on Demand Titel. Neuware -This book is based on the author's Ph.D. dissertation[56]. The the sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.…

Seller Inventory # 9780898382235

Title
Machine Learning of Inductive Bias
Author
Paul E. Utgoff
Publisher
Springer, Springer Jun 1986
Publication year
1986
Condition
Neu
Binding
Buch
Language
English
ISBN 10
0898382238
ISBN 13
9780898382235
Item weight
453 grams
Dimensions
241x160x15 mm

buchversandmimpf2000

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