Home > Computing and Information Technology > Computer science > Computer architecture and logic design > 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(Lecture Notes in Artificial Intelligence)
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(Lecture Notes in Artificial Intelligence)

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(Lecture Notes in Artificial Intelligence)

          
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About the 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.

Table of Contents:
Recurrent neural network architectures: An overview.- Gradient based learning methods.- Diagrammatic methods for deriving and relating temporal neural network algorithms.- An introduction to learning structured information.- Neural networks for processing data structures.- The loading problem: Topics in complexity.- Learning dynamic Bayesian networks.- Probabilistic models of neuronal spike trains.- Temporal models in blind source separation.- Recursive neural networks and automata.- The neural network pushdown automaton: Architecture, dynamics and training.- Neural dynamics with stochasticity.- Parsing the stream of time: The value of event-based segmentation in a complex real-world control problem.- Hybrid HMM/ANN systems for speech recognition: Overview and new research directions.- Predictive models for sequence modelling, application to speech and character recognition.


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Product Details
  • ISBN-13: 9783540643418
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publisher Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Height: 235 mm
  • No of Pages: 438
  • Returnable: Y
  • Series Title: Lecture Notes in Artificial Intelligence
  • Sub Title: International Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures
  • Width: 155 mm
  • ISBN-10: 3540643419
  • Publisher Date: 25 Mar 1998
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: 1387 Lecture Notes in Computer Science
  • Spine Width: 23 mm
  • Weight: 625 gr


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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(Lecture Notes in Artificial Intelligence)
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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(Lecture Notes in Artificial Intelligence)
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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(Lecture Notes in Artificial Intelligence)

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