Computational Learning Theory: EuroCOLT '93

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John Shawe-Taylor, Martin Anthony
Oxford University Press, USA, Oct 27, 1994 - Computational learning theory - 256 pages
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The study of machine learning within the mathematical framework of complexity theory has seen great strides in just a few short years, spurred on by the tremendous rise in interest from engineers studying control to analysts predicting financial market activity. Based on the first European Conference on Computational Learning Theory, and including a number of invited contributions, Computational Learning Theory offers an outstanding overview of the subject, with topics ranging from results inspired by neural network research to those originating from more classical artificial intelligence approaches. It will appeal to students and researchers in applied mathematics, computer science, and cognitive science.

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Contents

INVITED PAPERS
1
Some new directions in computational learning theory
19
A neuroidal model for cognitive functions by L G Valiant
33
Copyright

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