October 6th, 2008An Introduction to Computational Learning Theory 
An Introduction to Computational Learning Theory
The MIT Press | ISSN: 0262111934 | 1994-08-15 | PDF | 221 Pages | 4,6 Mb
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.
Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning.
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