Adaptive Processing of Sequences and Data Structures

International Summer School on Neural Networks “E.R. Caianiello” Vietri sul Mare, Salerno, Italy September 6–13, 1997 Tutorial Lectures

  • Editors
  • C. Lee Giles
  • Marco Gori

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1387)

Table of contents

About this book


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.


Algorithms Automat Bayesian network algorithm automata complexity data structure data structures learning speech processing speech recognition

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64341-8
  • Online ISBN 978-3-540-69752-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book