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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Giles, C.Lee (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gori, Marco (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
• Έκδοση: 1st ed. 1998.
• Σειρά: Lecture Notes in Artificial Intelligence ; 1387
• Θέματα: Architecture, Computer.; Computer programming.; Artificial intelligence.; Computers.; Microprocessors.; Data structures (Computer science).; Computer System Implementation.; Programming Techniques.; Artificial Intelligence.; Computation by Abstract Devices.; Processor Architectures.; 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...

Πίνακας περιεχομένων:

• 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.