12.275, Books: Computational Linguistics
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Thu Feb 1 22:49:09 UTC 2001
LINGUIST List: Vol-12-275. Thu Feb 1 2001. ISSN: 1068-4875.
Subject: 12.275, Books: Computational Linguistics
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1)
Date: Sat, 27 Jan 2001 16:14:51 -0600
From: Ron Sun <rsun at cecs.missouri.edu>
Subject: Comp Ling: Sequence Learning by R. Sun & C. L. Giles (eds.)
-------------------------------- Message 1 -------------------------------
Date: Sat, 27 Jan 2001 16:14:51 -0600
From: Ron Sun <rsun at cecs.missouri.edu>
Subject: Comp Ling: Sequence Learning by R. Sun & C. L. Giles (eds.)
SEQUENCE LEARNING: PARADIGMS, ALGORITHMS, AND APPLICATIONS
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
Learning
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-
learning
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
http://www.cecs.missouri.edu/~rsun/book5-ann.html
http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-41597-1
http://www.springer.de/comp/lncs/
http://www.cecs.missouri.edu/~rsun/
2001. XII, 391 pp. Softcover
3-540-41597-1
DM 82, Recommended List Price
http://www.springer.de/contact.html
phone +49 6221 487 0
==========================================================================
Prof. Ron Sun http://www.cecs.missouri.edu/~rsun
CECS Department phone: (573) 884-7662
University of Missouri-Columbia fax: (573) 882 8318
201 Engineering Building West
Columbia, MO 65211-2060 email: rsun at cecs.missouri.edu
http://www.cecs.missouri.edu/~rsun
http://www.cecs.missouri.edu/~rsun/journal.html
http://www.elsevier.com/locate/cogsys
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