Adaptive Processing of Sequences and Data Structures

C. Lee Giles

ISBN 10: 3540643419 / ISBN 13: 9783540643418

Published by Springer, Springer Mär 1998, 1998

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks.The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch.

Seller Inventory # 9783540643418

Bibliographic Details

• Title: Adaptive Processing of Sequences and Data Structures
• Publisher: Springer, Springer Mär 1998
• Publication Date: 1998
• Language: English
• ISBN 10: 3540643419
• ISBN 13: 9783540643418
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 25D millimeters 235 millimeters width by 155 millimeters height by 25 millimeters depth
• Weight: 680 grams

About this title

Synopsis

This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks.
The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey.