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

Front Cover
Springer Science & Business Media, Mar 25, 1998 - Computers - 434 pages
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.
 

What people are saying - Write a review

User Review - Flag as inappropriate

里边有关于DBN的东西,应该写的不错!

Contents

An Overview
1
Gradient Based Learning Methods
27
Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms
63
An Introduction to Learning Structured Information
99
Neural Networks for Processing Data Structures
121
Topics in Complexity
145
Learning Dynamic Bayesian Networks
168
Probabilistic Models of Neuronal Spike Trains
198
Temporal Models in Blind Source Separation
229
Recursive Neural Networks and Automata
248
Architecture Dynamics and Training
296
Neural Dynamics with Stochasticity
346
The Value of EventBased Segmentation in a Complex RealWorld Control Problem
370
Overview and New Research Directions
389
Predictive Models for Sequence Modelling Application to Speech and Character Recognition
418
Copyright

Other editions - View all

Common terms and phrases