Table of Contents:
  • Recurrent neural network architectures : an overview ; Gradient based learning methods / A.C. Tsoi
  • Diagrammatic methods for deriving and relating temporal neural network algorithms / E.A. Wan and F. Beaufays
  • An introduction to learning structured information / P. Frasconi
  • Neural networks for processing data structures / A. Sperduti
  • The loading problem : topics in complexity / M. Gori
  • Learning dynamic Bayesian networks / Z. Ghahramani
  • Probabilistic models of neuronal spike trains / P. Baldi
  • Temporal models in blind source separation / L.C. Parra
  • Recursive neural networks and automata / M. Maggini
  • The neural network pushdown automaton : architecture, dynamics and training / G.Z. Sun, C.L. Giles and H.H. Chen
  • Neural dynamics with stochasticity / H.T. Siegelmann
  • Parsing the stream of time : the value of event-based segmentation in a complex real-world control problem / M.C. Mozer and D. Miller
  • Hybrid HMM/ANN systems for speech recognition : overview and new research directions / H. Bourlard and N. Morgan
  • Predictive models for sequence modelling, application to speech and character recognition / P. Gallinari.