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Machine Learning of Inductive Bias

Name: Machine Learning of Inductive Bias
Brand: Springer, Berlin
SKU: 01401056
Price: 540.14 RON
Availability: InStock
Author: Paul E. Utgoff
ISBN: 9780898382235

Paul E. Utgoff

Limba

engleză

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Codul Libristo: 01401056

Editura Springer, Berlin

This book is based on the author's Ph.D. dissertation. The the sis research was conducted while the... Descrierea completă

Codul Libristo: 01401056

249 b

540.14 lei

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This book is based on the author's Ph.D. dissertation. 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.