new book on sequence learning

From: Ron Sun (rsun@cecs.missouri.edu)
Date: Mon Jan 29 2001 - 15:33:20 MET

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    Book announcement:

           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@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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