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

by C. Lee Giles (Editor)

Recurrent neural network 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 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 Architecture, dynamics and training.- Neural dynamics with stochasticity.- Parsing the stream of The value of event-based segmentation in a complex real-world control problem.- Hybrid HMM/ANN systems for speech Overview and new research directions.- Predictive models for sequence modelling, application to speech and character recognition.

452 pages, Paperback

First published May 4, 1998