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140122 ||| eng |
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|a 9783540697527
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100 |
1 |
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|a Giles, C.Lee
|e [editor]
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245 |
0 |
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|a Adaptive Processing of Sequences and Data Structures
|h Elektronische Ressource
|b International Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures
|c edited by C.Lee Giles, Marco Gori
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250 |
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|a 1st ed. 1998
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1998, 1998
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300 |
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|a XIV, 438 p
|b online resource
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505 |
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|a 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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653 |
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|a Artificial intelligence / Data processing
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653 |
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|a Computer systems
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653 |
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|a Programming Techniques
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653 |
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|a Computer science
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653 |
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|a Computer System Implementation
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653 |
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|a Computer programming
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653 |
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|a Artificial Intelligence
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653 |
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|a Artificial intelligence
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653 |
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|a Processor Architectures
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653 |
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|a Microprocessors
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653 |
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|a Theory of Computation
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653 |
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|a Computer architecture
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653 |
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|a Data Science
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700 |
1 |
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|a Gori, Marco
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b SBA
|a Springer Book Archives -2004
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490 |
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|a Lecture Notes in Artificial Intelligence
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028 |
5 |
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|a 10.1007/BFb0053992
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856 |
4 |
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|u https://doi.org/10.1007/BFb0053992?nosfx=y
|x Verlag
|3 Volltext
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|a 004.2
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520 |
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|a 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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