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 /
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...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1998.
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| Edition: | 1st ed. 1998. |
| Series: | Lecture Notes in Artificial Intelligence ;
1387 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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.
