Mathematical Perspectives on Neural Networks

0 avg rating
( 0 ratings by Goodreads )
 
9781138876293: Mathematical Perspectives on Neural Networks

Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics.

Mathematical models of neural networks display an amazing richness and diversity. Neural networks can be formally modeled as computational systems, as physical or dynamical systems, and as statistical analyzers. Within each of these three broad perspectives, there are a number of particular approaches. For each of 16 particular mathematical perspectives on neural networks, the contributing authors provide introductions to the background mathematics, and address questions such as:
* Exactly what mathematical systems are used to model neural networks from the given perspective?
* What formal questions about neural networks can then be addressed?
* What are typical results that can be obtained? and
* What are the outstanding open problems?

A distinctive feature of this volume is that for each perspective presented in one of the contributed chapters, the first editor has provided a moderately detailed summary of the formal results and the requisite mathematical concepts. These summaries are presented in four chapters that tie together the 16 contributed chapters: three develop a coherent view of the three general perspectives -- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.

"synopsis" may belong to another edition of this title.

About the Author:

Paul Smolensky is Professor of Cognitive Science at Johns Hopkins University. He was a leading member of the PDP connectionist research group, and is the recipient of the 2005 David E. Rumelhart Prize in Cognitive Science, which is awarded annually to an individual or collaborative team making a significant contribution to the formal analysis of human cognition.

Michael C. Mozer is a Professor in the Department of Computer Science and the Institute of Cognitive Science at the University of Colorado, Boulder. In 1990 he received the Presidential Young Investigator Award from the National Science Foundation.

Paul Smolensky is Professor of Cognitive Science at Johns Hopkins University. He was a leading member of the PDP connectionist research group, and is the recipient of the 2005 David E. Rumelhart Prize in Cognitive Science, which is awarded annually to an individual or collaborative team making a significant contribution to the formal analysis of human cognition.

Michael C. Mozer is a Professor in the Department of Computer Science and the Institute of Cognitive Science at the University of Colorado, Boulder. In 1990 he received the Presidential Young Investigator Award from the National Science Foundation.

Review:

Although the material is advanced and technical, the volume has a multilayer structure including a general overview, and there are overviews of each of the main parts (including summary tables of key results). These surveys, all written by Smolensky (John Hopkins University), provide an excellent introduction to the papers and their context, making the material accessible to upper-division undergraduates, graduate students, or faculty.
CHOICE

"About this title" may belong to another edition of this title.

Top Search Results from the AbeBooks Marketplace

1.

Smolensky,Paul
Published by Psychology Press
ISBN 10: 1138876291 ISBN 13: 9781138876293
New Softcover Quantity Available: 1
Seller:
Rating
[?]

Book Description Psychology Press. Book Condition: BRAND NEW. BRAND NEW Softcover A Brand New Quality Book from a Full-Time Bookshop in business since 1992!. Bookseller Inventory # 2032948

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 53.94
Convert Currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, Rates & Speeds

2.

SMOLENSKY, PAUL; MOZER, MICHAEL C.
Published by Psychology Press (2015)
ISBN 10: 1138876291 ISBN 13: 9781138876293
New Paperback Quantity Available: 1
Seller:
Herb Tandree Philosophy Books
(Stroud, GLOS, United Kingdom)
Rating
[?]

Book Description Psychology Press, 2015. Paperback. Book Condition: NEW. 9781138876293 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Bookseller Inventory # HTANDREE0927792

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 55.24
Convert Currency

Add to Basket

Shipping: US$ 10.73
From United Kingdom to U.S.A.
Destination, Rates & Speeds

3.

Published by Taylor Francis Ltd, United Kingdom (2015)
ISBN 10: 1138876291 ISBN 13: 9781138876293
New Paperback Quantity Available: 1
Seller:
Book Depository hard to find
(London, United Kingdom)
Rating
[?]

Book Description Taylor Francis Ltd, United Kingdom, 2015. Paperback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics. Mathematical models of neural networks display an amazing richness and diversity. Neural networks can be formally modeled as computational systems, as physical or dynamical systems, and as statistical analyzers. Within each of these three broad perspectives, there are a number of particular approaches. For each of 16 particular mathematical perspectives on neural networks, the contributing authors provide introductions to the background mathematics, and address questions such as: * Exactly what mathematical systems are used to model neural networks from the given perspective? * What formal questions about neural networks can then be addressed? * What are typical results that can be obtained? and * What are the outstanding open problems? A distinctive feature of this volume is that for each perspective presented in one of the contributed chapters, the first editor has provided a moderately detailed summary of the formal results and the requisite mathematical concepts. These summaries are presented in four chapters that tie together the 16 contributed chapters: three develop a coherent view of the three general perspectives -- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field. Bookseller Inventory # BTE9781138876293

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 67.38
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

4.

Published by Taylor & Francis (2015)
ISBN 10: 1138876291 ISBN 13: 9781138876293
New Paperback Quantity Available: 1
Seller:
Revaluation Books
(Exeter, United Kingdom)
Rating
[?]

Book Description Taylor & Francis, 2015. Paperback. Book Condition: Brand New. 1 pages. 5.98x9.02x0.75 inches. In Stock. Bookseller Inventory # __1138876291

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 63.15
Convert Currency

Add to Basket

Shipping: US$ 8.05
From United Kingdom to U.S.A.
Destination, Rates & Speeds

5.

Published by Psychology Press (2015)
ISBN 10: 1138876291 ISBN 13: 9781138876293
New Paperback Quantity Available: 2
Seller:
Murray Media
(North Miami Beach, FL, U.S.A.)
Rating
[?]

Book Description Psychology Press, 2015. Paperback. Book Condition: New. Never used!. Bookseller Inventory # P111138876291

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 95.08
Convert Currency

Add to Basket

Shipping: US$ 1.99
Within U.S.A.
Destination, Rates & Speeds

6.

Paul Smolensky
ISBN 10: 1138876291 ISBN 13: 9781138876293
New Paperback Quantity Available: 1
Seller:
AussieBookSeller
(SILVERWATER, NSW, Australia)
Rating
[?]

Book Description 2015. Paperback. Book Condition: New. Paperback. Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical backgrou.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 1 pages. 1.111. Bookseller Inventory # 9781138876293

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 74.07
Convert Currency

Add to Basket

Shipping: US$ 37.00
From Australia to U.S.A.
Destination, Rates & Speeds