LINGUIST List 12.275

Thu Feb 1 2001

Books: Computational Linguistics

Editor for this issue: Naomi Ogasawara <>

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  1. Ron Sun, Comp Ling: Sequence Learning by R. Sun & C. L. Giles (eds.)

Message 1: Comp Ling: Sequence Learning by R. Sun & C. L. Giles (eds.)

Date: Sat, 27 Jan 2001 16:14:51 -0600
From: Ron Sun <>
Subject: Comp Ling: Sequence Learning by R. Sun & C. L. Giles (eds.)


 edited by: Ron Sun and C. L. Giles

 published by Springer-Verlag: LNAI 1828

This book is intended for use by scientists, engineers, and students
interested in sequence learning in artificial intelligence, neural
networks, and cognitive science. The book will introduce essential
algorithms and methods of sequence learning and further develop them
in various ways. With the help of these concepts, a variety of
applications will be examined. This book will allow the reader to
acquire an appreciation of the breadth and variety sequence learning
and its potential as an interesting area of research and
application. The reader is assumed to have basic knowledge of neural
networks and AI concepts.

Sequential behavior is essential to intelligence 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 task domains --- planning,
reasoning, robotics, natural language processing, speech recognition,
adaptive control, time series prediction, and so on. Naturally, there
are many different approaches towards sequence learning. These
approaches deal with somewhat differently formulated sequential
learning problems, and/or different aspects of sequence learning. This
book will provide an overall framework for this field of study.

- -------------------------------------------------------

Table of Contents

Introduction to Sequence Learning 
by Ron Sun

Part 1: Sequence Clustering and Learning with Markov Models

Sequence Learning via Bayesian Clustering by Dynamics 
by Paola Sebastiani, Marco Ramoni, Paul Cohen

Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of
Time Series 
by Tim Oates, Laura Firoiu, Paul Cohen

Part 2: Sequence Prediction and Recognition with Neural Networks

Anticipation Model for Sequential Learning of Complex Sequences 
by DeLiang Wang

Bidirectional Dynamics for Protein Secondary Structure Prediction 
by Pierre Baldi, Soren Brunak, Paolo Frasconi, Gianluca Pollastri, Gio-
vanni Soda

Time in Connectionist Models 
by Jean-Cedric Chappelier, Marco Gori, Alain Grumbach

On the Need for a Neural Abstract Machine 
by Diego Sona, Alessandro Sperduti

Part 3: Sequence Discovery with Symbolic Methods

Sequence Mining in Categorical Domains: Algorithms and Applications
by Mohammed J. Zaki

Sequence Learning in the ACT-R Cognitive Architecture: Empirical Anal-
ysis of a Hybrid Model 
by Christian Lebiere, Dieter Wallach

Part 4: Sequential Decision Making

Sequential Decision Making Based on Direct Search 
by Jurgen Schmidhuber

Automatic Segmentation of Sequences through Hierarchical Reinforcement
by Ron Sun, Chad Sessions

Hidden-Mode Markov Decision Processes for Nonstationary Sequential De-
cision Making 
by Samuel P. M. Choi, Dit-Yan Yeung, Nevin L. Zhang

Pricing in Agent Economies Using Neural Networks and Multi-agent Q-
by Gerald Tesauro

Part 5: Biologically Inspired Sequence Learning Models

Multiple Forward Model Architecture for Sequence Processing 
by Raju S. Bapi, Kenji Doya

Integration of Biologically Inspired Temporal Mechanisms into a Cortical
Framework for Sequence Processing 
by Herve Frezza-Buet, Nicolas Rougier, Frederic Alexandre

Attentive Learning of Sequential Handwriting Movements: A Neural Net-
work Model 
by Stephen Grossberg, Rainer Paine

About Editors 
Author Index 

To order, go to

	2001. XII, 391 pp. Softcover
	DM 82, Recommended List Price
 	phone +49 6221 487 0 

Prof. Ron Sun
CECS Department phone: (573) 884-7662
University of Missouri-Columbia fax: (573) 882 8318 
201 Engineering Building West
Columbia, MO 65211-2060 email:
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Friday, December 08, 2000