Sequence Learning

by Sun, Ron; Giles, C. Lee

• ISBN13: 9783540415978
• ISBN10: 3540415971
• Format: Paperback
• Copyright: 2001-02-01
• Publisher: Springer Verlag

Summary

Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.

Table of Contents

Introduction to Sequence Learning	1	(11)
Ron Sun
Sequence Clustering and Learning with Markov Models
Sequence Learning via Bayesian Clustering by Dynamics	11	(24)
Paola Sebastiani
Marco Ramoni
Paul Cohen
Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series	35	(18)
Tim Oates
Laura Firoiu
Paul R. Cohen
Sequence Prediction and Recognition with Neural Networks
Anticipation Model for Sequential Learning of Complex Sequences	53	(27)
DeLiang Wang
Bidirectional Dynamics for Protein Secondary Structure Prediction	80	(25)
Pierre Baldi
Soren Brunak
Paolo Frasconi
Gianluca Pollastri
Giovanni Soda
Time in Connectionist Models	105	(30)
Jean-Cedric Chappelier
Marco Gori
Alain Grumbach
On the Need for a Neural Abstract Machine	135	(27)
Diego Sona
Alessandro Sperduti
Sequence Discovery with Symbolic Methods
Sequence Mining in Categorical Domains: Algorithms and Applications	162	(26)
Mohammed J. Zaki
Sequence Learning in the Act-R Cognitive Architecture: Empirical Analysis of a Hybrid Model	188	(25)
Christian Lebiere
Dieter Wallach
Sequential Decision Making
Sequential Decision Making Based on Direct Search	213	(28)
Jurgen Schmidhuber
Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning	241	(23)
Ron Sun
Chad Sessions
Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making	264	(24)
Samuel P.M. Choi
Dit-Yan Yeung
Nevin L. Zhang
Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning	288	(20)
Gerald Tesauro
Biologically Inspired Sequence Learning Models
Multiple Forward Model Architecture for Sequence Processing	308	(13)
Raju S. Bapi
Kenji Doya
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing	321	(28)
Herve Frezza-Buet
Nicolas Rougier
Frederic Alexandre
Attentive Learning of Sequential Handwriting Movements: A Neural Network Model	349	(40)
Stephen Grossberg
Rainer W. Paine
About Editors	389	(2)
Author Index	391