Get Free Shipping on orders over $79
Machine Learning of Inductive Bias : The Springer International Series in Engineering and Computer Science - Paul E. Utgoff

Machine Learning of Inductive Bias

By: Paul E. Utgoff

Paperback | 5 April 2012

At a Glance

Paperback


$169.75

or 4 interest-free payments of $42.44 with

 or 

Ships in 5 to 7 business days

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.

Other Editions and Formats

Hardcover

Published: 30th June 1986

More in Artificial Intelligence

The Tech Coup : How to Save Democracy from Silicon Valley - Marietje Schaake
Creative Machines : AI, Art & Us - Maya Ackerman

RRP $57.95

$44.75

23%
OFF
The Shortest History of AI - Toby Walsh

RRP $27.99

$22.75

19%
OFF
Ideal Subjects Volume 76 : The Abstract People of AI - Olga Goriunova

RRP $270.00

$235.75

13%
OFF
Life 3.0 : Being Human in the Age of Artificial Intelligence - Max Tegmark
Co-Intelligence : Living and Working with AI - Ethan Mollick

RRP $36.99

$29.75

20%
OFF
How We Learn : The New Science of Education and the Brain - Stanislas Dehaene