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A Theory of Learning and Generalization (Communications and Control Engineering)

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A Theory of Learning and Generalization (Communications and Control Engineering) (Hardcover)
by M. Vidyasagar (Author)

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Product details

Hardcover: 383 pages
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K (Dec 1996)
Language English
ISBN-10: 3540761209
ISBN-13: 978-3540761204
Product Dimensions: 24.8 x 16.5 x 3.2 cm
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Amazon.co.uk Sales Rank: 2,657,457 in Books (See Bestsellers in Books)

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Product Description

Synopsis
Provides a formal mathematical theory for addressing intuitive questions of the type: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the output of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? How can one "identify" the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time? This text treats the problem of machine learning in conjunction with the theory of empirical processes, the latter being a well-established branch of probability theory. The treatment of both topics side by side leads to new insights, as well as new results in both topics.