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
(Sprache: Englisch)
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....
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Klappentext zu „Adaptive Processing of Sequences and Data Structures “
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.
Inhaltsverzeichnis zu „Adaptive Processing of Sequences and Data Structures “
- 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
Bibliographische Angaben
- 1998, 1998., 438 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben:Giles, C.Lee; Gori, Marco
- Herausgegeben: Marco Gori, C. Lee Giles
- Verlag: Springer
- ISBN-10: 3540643419
- ISBN-13: 9783540643418
- Erscheinungsdatum: 25.03.1998
Sprache:
Englisch
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