The Informational Complexity of Learning - Perspectives on Neural Networks and Generative Grammar (Paperback, Softcover reprint of the original 1st ed. 1998)

Among other topics, The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar brings together two important but very different learning problems within the same analytical framework. The first concerns the problem of learning functional mappings using neural networks, followed by learning natural language grammars in the principles and parameters tradition of Chomsky. These two learning problems are seemingly very different. Neural networks are real-valued, infinite-dimensional, continuous mappings. On the other hand, grammars are boolean-valued, finite-dimensional, discrete (symbolic) mappings. Furthermore the research communities that work in the two areas almost never overlap. The book's objective is to bridge this gap. It uses the formal techniques developed in statistical learning theory and theoretical computer science over the last decade to analyze both kinds of learning problems. By asking the same question - how much information does it take to learn? - of both problems, it highlights their similarities and differences. Specific results include model selection in neural networks, active learning, language learning and evolutionary models of language change. The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar is a very interdisciplinary work. Anyone interested in the interaction of computer science and cognitive science should enjoy the book. Researchers in artificial intelligence, neural networks, linguistics, theoretical computer science, and statistics will find it particularly relevant.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	October 2012
First published:	1998
Authors:	Partha Niyogi
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	224
Edition:	Softcover reprint of the original 1st ed. 1998
ISBN-13:	978-1-4613-7493-0
Categories:	Books > Language & Literature > Language & linguistics > General Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	1-4613-7493-6
Barcode:	9781461374930

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