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

By: C.Lee Giles (Editor), Marco Gori (Editor)

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Paperback | 25 March 1998

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452 Pages

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24.13 x 16.51 x 2.54

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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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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Artificial Intelligence Neural Networks & Fuzzy Systems Computer Programming & Software Development Algorithms & Data Structures Systems Analysis & Design Graphical & Digital Media Applications 3D Graphics & Modelling

Databases Data Capture & Analysis Mathematics Computer Hardware

Architectures and Learning in Recurrent Neural Networks
Recurrent Neural Network Architectures: An Overview	p. 1
Gradient Based Learning Methods	p. 27
Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms	p. 63
Processing of Data Structures
An Introduction to Learning Structured Information	p. 99
Neural Networks for Processing Data Structures	p. 121
The Loading Problem: Topics in Complexity	p. 145
Probabilistic Models
Learning Dynamic Bayesian Networks	p. 168
Probabilistic Models of Neuronal Spike Trains	p. 198
Temporal Models in Blind Source Separation	p. 229
Analog vs Symbolic Computation
Recursive Neural Networks and Automata	p. 248
The Neural Network Pushdown Automaton: Architecture, Dynamics and Training	p. 296
Neural Dynamics with Stochasticity	p. 346
Applications
Parsing the Stream of Time: The Value of Event-Based Segmentation in a Complex Real-World Control Problem	p. 370
Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions	p. 389
Predictive Models for Sequence Modelling, Application to Speech and Character Recognition	p. 418
Table of Contents provided by Publisher. All Rights Reserved.

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

At a Glance

Paperback

Shipping

How to return your order

Defective items

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