9.480, Books: Psycholing, computer & cognitive sciences
The LINGUIST List
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Sat Mar 28 13:17:14 UTC 1998
LINGUIST List: Vol-9-480. Sat Mar 28 1998. ISSN: 1068-4875.
Subject: 9.480, Books: Psycholing, computer & cognitive sciences
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1)
Date: Thu, 19 Mar 1998 15:15:37 -0500
From: rmurphy at wkap.com (Roberta Murphy)
Subject: The Informational Complexity of Learning
-------------------------------- Message 1 -------------------------------
Date: Thu, 19 Mar 1998 15:15:37 -0500
From: rmurphy at wkap.com (Roberta Murphy)
Subject: The Informational Complexity of Learning
KLUWER ACADEMIC PUBLISHERS is proud to announce the publication of:
THE INFORMATIONAL COMPLEXITY OF LEARNING:
Perspectives on Neural Networks and Generative Grammar
by Partha Niyogi
Massachusetts Institute of Technology
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.
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. 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. All individuals
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.
Contents
Foreword.
Preface.
1. INTRODUCTION.
2. GENERALIZATION ERROR FOR NEURAL NETS.
3. ACTIVE LEARNING.
4. LANGUAGE LEARNING.
5. LANGUAGE CHANGE.
6. CONCLUSIONS.
1998 248 pp. ISBN 0-7923-8081-9 $98.00
FOR MORE INFORMATION ABOUT THIS PUBLICATION, PLEASE VISIT OUR On-line
Catalogue at: http://www.wkap.nl
or you may order directly from:
Kluwer Academic Publishers
101 Philip Drive
Norwell, Ma. 02061
Phone: 781-871-6600, Fax: (781) 871-6528, E-mail: kluwer at wkap.com
Kluwer Academic Publishers
P. O. Box 322
3300 AH Dordrecht, The Netherlands
Phone 31 78 639 2392, Fax: 31 78 6546474, E-mail: services at wkap.nl
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Publisher's backlists
The following contributing LINGUIST publishers have made their
backlists available on the World Wide Web:
1998 Contributors:
Major Supporters:
Blackwell Publishers
http://www.blackwell.com/
Edinburgh University Press
http://www.eup.ed.ac.uk/
Holland Academic Graphics (HAG)
http://www.hag.nl
Kluwer Academic Publishers
http://www.wkap.nl/
Lawrence Erlbaum Assoc.
http://www.erlbaum.com/inform.htm
Mouton de Gruyter
http://www.deGruyter.de/hling.html
Oxford University Press
http://www.oup.co.uk/
Routledge
http://www.routledge.com/
Summer Institute of Linguistics
http://www.sil.org/
Other Supporting Publishers:
Cascadilla Press:
http://www.cascadilla.com/
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