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  • Textbook
  • © 1998

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:

  1. C. Lee Giles
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  2. Marco Gori
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    You can also search for this editor in PubMed   Google Scholar

  • The book originates from a summer school held in September 1997 and is thus ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction.
  • Includes supplementary material: sn.pub/extras

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): NN: International School on Neural Networks, Initiated by IIASS and EMFCSC

Conference proceedings info: NN 1997.

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Table of contents (15 chapters)

  1. Front Matter

    PDF

  3. Gradient based learning methods

    • Ah Chung Tsoi, Ah Chung Tsoi
    Pages 27-62

  6. Neural networks for processing data structures

    • Alessandro Sperduti
    Pages 121-144

  8. Learning dynamic Bayesian networks

    • Zoubin Ghahramani
    Pages 168-197

  10. Temporal models in blind source separation

    • Lucas C. Parra
    Pages 229-247

  11. Recursive neural networks and automata

    • Marco Maggini
    Pages 248-295

  12. The neural network pushdown automaton: Architecture, dynamics and training

    • G. Z. Sun, C. L. Giles, H. H. Chen
    Pages 296-345

  13. Neural dynamics with stochasticity

    • Hava T. Siegelmann
    Pages 346-369
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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.
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Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

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