Machine Learning of Inductive Bias: 15 (The Springer International Series in Engineering and Computer Science, 15) - Image 1

£89.99

Springer Machine Learning of Inductive Bias: 15 (The Springer International Series in Engineering and Computer Science, 15)

Name: Machine Learning of Inductive Bias: 15 (The Springer International Series in Engineering and Computer Science, 15)
Brand: Springer
Price: 89.99 GBP
Availability: InStock

AI & Machine Learning

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Description

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.

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Used Book in Good Condition

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0898382238
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 June 1986
Listed Since: 16 February 2007

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Springer Machine Learning of Inductive Bias: 15 (The Springer International Series in Engineering and Computer Science, 15)

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