Machine Learning List: Vol. 12, No. 11
Friday, Feb 23, 2001
Contents:
Calls for Papers and Other Meeting Announcments
PKDD-01 and ECML-01, Freiburg, Germany, Sep.3-7, 2001
JIIS Special Issue on Automated Text Categorization
RoboCup-2001 Call for Participation
CFP: CIA 2001 - Information Agents and Systems
cfp: Special Issue on Data Mining & Knowledge Discovery ...
MLJ Special Issue on Fusion of Knowledge with Data: 1st CFP
Intl Jrnl of Foundations of Computer Science: Special Issue on Mining the Web
CFP for Third Workshop on Inference in Computational Semantics
CFP: Web-based adaptive user interfaces
UM2001: Workshop on User Modeling, Machine Learning and Information Retrieval
Other
New Wiley book on Mixture Models
NEW BOOK: Efficient and Accurate Parallel Genetic Algorithms
book announcement--Kargupta
The Machine Learning List is moderated. Contributions should be
relevant to the scientific study of machine learning. Please send
submissions for distribution to: [EMAIL PROTECTED] For requests to be
added, removed, or to change your email address, send email to:
[EMAIL PROTECTED]
In general, submissions should be no more than a few full-screens of
text. For meeting announcements, highlight the conference or workshop
web page and give a summary description of the goals of the event.
Information such as the list of program committee members, talk
schedules, and registration forms are unnecessary and should not be
included. Job adds are usually no more than a few full-screens so
they should fit naturally.
----------------------------------------------------------------------
Calls for Papers and Other Meeting Announcments
------------------------------
From: Jan M Zytkow <[EMAIL PROTECTED]>
Subject: PKDD-01 and ECML-01, Freiburg, Germany, Sep.3-7, 2001
Date: Mon, 4 Dec 2000 04:28:26 -0500 (EST)
* Jan Zytkow: CFP PKDD-01 and ECML-01
The conferences are co-located in Freiburg, Germany, Sep.3-7, 2001
This is the first time world-wide that a KDD and ML conference
are co-located.
http://www.informatik.uni-freiburg.de/~ml/ecmlpkdd/ecmlpkdd.htm
Submissions deadline: Apr.6 noon abstracts and Apr.11 noon papers
Submit a paper, a workshop or tutorial proposal, or participate in
several discovery challenges
------------------------------
From: Fabrizio Sebastiani <[EMAIL PROTECTED]>
Subject: JIIS Special Issue on Automated Text Categorization
Date: Mon, 4 Dec 2000 19:21:25 +0100
Call for Papers
Journal of Intelligent Information Systems
(Kluwer Academic Publishers)
Special Issue on
Automated Text Categorization
(http://mason.gmu.edu/~kersch/JIIS/Special_Issues/TextCategory.html)
Guest Editors
Thorsten Joachim <[EMAIL PROTECTED]>
National Research Center for Information Technology (GMD), Germany
Fabrizio Sebastiani <[EMAIL PROTECTED]>
National Council of Research (CNR), Italy
We encourage the submission of high quality, original work that has
not been submitted, accepted for publication, or published elsewhere,
covering any aspect of automated text categorization, including (but
not restricted to) the following
Machine learning methods for text categorization
Theoretical models of text categorization
Hierarchical text categorization
Text analysis and indexing methods for text categorization
Dimensionality reduction for text categorization
Evaluation issues in text categorization
Applications of text categorization
Automated categorization of Web pages and Web sites
Text filtering and routing
Topic detection and tracking
Spoken text categorization
OCR'ed text categorization
IMPORTANT DATES
Submission deadline : 28 February 2001
Acceptance/rejection notification : 31 May 2001
Submission of final copy : 31 July 2001
Tentative Publication Date : December 2001
------------------------------
From: Manuela Veloso <[EMAIL PROTECTED]>
Subject: RoboCup-2001 Call for Participation
Date: Thu, 07 Dec 2000 12:35:59 -0500
RoboCup is being held for the first time in the United States,
colocated with IJCAI-01, in Seattle.
RoboCup includes a series of events, including a technical symposium,
competitions, and exhibits. ALL researchers interested in
multiagent/multirobot research are encouraged to submit papers and/or
participate in the competitions and exhibits.
Please see the RoboCup-2001 Web page
http://www.cs.cmu.edu/~robocup2001 for all the details.
In particular note that the Sony legged league is accepting
applications for new teams who may want to get the Sony robots and
enter RoboCup.
Also note that, this year, we will have Rescue events in simulation
and with real robots.
I look very much forward to seeing you at RoboCup-2001 and I will be
glad to answer any questions you may have.
Cheers,
Manuela (and Peter and Tucker)
------------------------------
From: Matthias Klusch <[EMAIL PROTECTED]>
Subject: CFP: CIA 2001 - Information Agents and Systems
Date: Fri, 08 Dec 2000 19:02:08 +0100
CALL FOR PAPERS
*********************************************
Fifth International Workshop CIA-2001 on
COOPERATIVE INFORMATION AGENTS
September 6 - 8, 2001
Modena, Italy
http://www.dfki.de/~klusch/cia2001.html
*********************************************
In cooperation with
28th Conference on Very Large Databases (VLDB 2001)
IMPORTANT DATES
===============
Deadline for Paper Submission: APRIL 10, 2001
Notification of Acceptance: June 15, 2001
Deadline for Camera-Ready Paper: June 22, 2001
WORKSHOP TOPICS
===============
Information agent technology is one of the major key technologies for
the Internet and worldwide Web. It emerged as a response to the
challenges of the cyberspace from both, the technological and human
user perspective. Development of information agents requires
expertise from different research disciplines such as Artificial
Intelligence (AI), advanced databases and knowledge base systems,
distributed information systems, information retrieval, and Human
Computer Interaction (HCI). Like in the previous CIA workshops, all
topics in the research area of intelligent and collaborating
information agents are covered by the CIA-2001 workshop. Topics are
but not limited to:
* SYSTEMS and Applications of Information Agents
* ADAPTATION and Learning Applied to Information Agents
- Advanced methods for single and multiagent system learning.
- Performance, relationship and application of multiagent learning
for collaborating information agents.
- Self-emerging collaboration among information agents.
- Computation and action under limited resources.
- Methods for automated uncertain reasoning for knowledge based
information agents.
- Distributed, adaptive Information Retrieval
* MOBILE Information Agents and Issues of Security in the Internet
* RATIONAL Information Agents and Electronic Commerce
* Advanced Database, Information System and Knowledge-Base Technology
* Construction and Reuse of Ontologies for Multiagent Information Gathering
* Human-Agent Interaction and Intelligent User Interfaces for Information Agents
PREPARATION & SUBMISSION OF PAPERS
==================================
[see web page]
------------------------------
From: "Vetle I. Torvik" <[EMAIL PROTECTED]>
Subject: cfp: Special Issue on Data Mining & Knowledge Discovery ...
Date: Mon, 11 Dec 2000 22:42:01 -0600
Special Issue of the Journal of Computers & Industrial Engineering on
"Data Mining & Knowledge Discovery"
Special Issue of the Journal of Intelligent Manufacturing on "Soft
Computing in Manufacturing"
Special Issue of the Journal of Industrial Engineering: Theory,
Applications and Practice of "Computational Intelligence in Industrial
Engineering"
See http://cda4.imse.lsu.edu/books1/calls1.htm for details
------------------------------
From: Richard Dybowski <[EMAIL PROTECTED]>
Subject: MLJ Special Issue on Fusion of Knowledge with Data: 1st CFP
Date: Wed, 13 Dec 2000 19:55:02 +0000
----------------------------------------------------------------------------
Machine Learning Journal Special Issue on Fusion of
Domain Knowledge with Data for Decision Support
----------------------------------------------------------------------------
Statistics and machine learning are data-oriented tasks in which domain
models are induced from data. The bulk of research in these fields
concentrates on inducing models from data archived in computer databases.
However, for many problem domains, human expertise forms an essential part
of the corpus of knowledge needed to construct models of the domain. The
discipline of knowledge engineering has focused on encoding the knowledge
of experts in a form that can be encoded into computational models of a
domain. At present, knowledge engineering and machine learning remain
largely separate disciplines. Yet in many fields of endeavor, substantial
human expertise exists alongside data archives. When both data and domain
knowledge are available, how can these two resources effectively be
combined to construct decision support systems?
The aim of this special issue of the Machine Learning journal is to allow
researchers to communicate their work on integrating domain knowledge with
data (knowledge-data fusion; theory revision; theory refinement) to a
general machine learning audience. Emphasis is on sound theoretical
frameworks rather than ad hoc approaches. Of particular interest are papers
that combine clear theoretical discussion with practical examples, and
papers that compare different approaches.
Possible frameworks for knowledge-data fusion include probabilistic
(Bayesian/belief) networks, possibilistic logics and networks, hybrid
neuro-fuzzy networks, and inductive logic programming.
Topics of interest include (but are not limited to):
* Practical applications of knowledge-data fusion. What lessons have been
learnt from attempts to apply knowledge-data fusion to real-world decision
problems?
* How are the various knowledge representation and inference frameworks
that permit induction theoretically related to each other?
* What frameworks enable an existing induced model, such as a neural
network, to be incorporated into a proposed knowledge-based system?
* How can knowledge-data fusion be applied to temporal data?
Submitted papers must not exceed 30 pages and must conform to the Machine
Learning journal style. Please see the associated Web site for further
submission details: http://www.umds.ac.uk/microbio/richard/kdf/
This Call for Papers is *not* restricted to those who presented at the UAI
2000 Workshop on Knowledge-Data Fusion: it is open to everyone who has an
interest in this topic.
Please direct any enquiries to Richard Dybowski: [EMAIL PROTECTED]
Schedule
--------------
Paper submission deadline: June 1, 2001
Authors' notification of decisions: September 1, 2001
Final revised papers due: December 15, 2001
Guest Editors
--------------------
Richard Dybowski (King's College London)
Kathryn Blackmond Laskey (George Mason University)
James Myers (Ballistic Missile Defense Organization)
Simon Parsons (Liverpool University)
------------------------------
From: "Charles X. Ling" <[EMAIL PROTECTED]>
Subject: Intl Jrnl of Foundations of Computer Science: Special Issue on Mining the Web
Date: Thu, 14 Dec 2000 19:15:09 GMT
MINING THE WEB
Special Issue of
INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE
>>>>> First Call For Papers <<<<<
As the Internet evolves and expands at an explosive rate, it provides
both great opportunities and grand challenges (and perhaps killer
applications) for data mining. In most major Internet application domains,
such as information presentations and exchanges, e-commerce, and search
engines, data mining has been applied and successful cases have been
reported.
However, data mining application to the web is still in the process
of "crossing the chasm". Many difficult problems need to be solved,
such as huge sizes of data with mixed and rich types, lack of standard
procedures for various business problems, integrating data mining with
existing web application systems, and the privacy issue. If Internet is
to become a killer application for data mining, those issues must be
resolved effectively so the benefits (e.g., return of investment) of
data mining becomes obvious to Internet companies.
It is, therefore, of special interest and urgency to expand our knowledge
on data mining applications to Internet, which is this special issue of
IJFCS planned for.
We urge authors to submit papers on any topics of data mining applications
to the Internet, including but not limited to:
-- Data mining for e-commerce (product recommendation, direct marketing,
customer retention, etc.)
-- Data mining for information presentation (webpage classification,
knowledge extraction from webpages or for search engines)
-- Data mining for personalization (fre-fetching, adaptation, etc.)
-- Mining web logs
Schedule for the Special Issue of IJFCS on Mining the Web:
-- Submission deadline: May 1, 2001
-- Decision on acceptance: Sept 1, 2001.
Please submit electronic copy in Postscript, PDF, or MS Word (strongly
encouraged), or five copies of your manuscript, to one of the guest editors:
Charles Ling, Univ of Western Ontario, [EMAIL PROTECTED]
Nick Cercone, University of Waterloo, [EMAIL PROTECTED]
Updates of the Special Issue of IJFCS on Mining the Web can be found at
http://www.csd.uwo.ca/faculty/ling/IJFCS/cfp.html
------------------------------
From: Priscilla Rasmussen <[EMAIL PROTECTED]>
Subject: CFP for Third Workshop on Inference in Computational Semantics
Date: Thu, 14 Dec 2000 16:34:01 EST
* FIRST CALL FOR PAPERS *
third workshop on
INFERENCE IN COMPUTATIONAL SEMANTICS
ICoS-3
Siena, Italy, June 18-20, 2001
http://www.cs.cmu.edu/~kohlhase/event/icos3/
(Submission deadline: March 15, 2001)
ABOUT ICoS
----------
Traditional inference tools (such as theorem provers and model
builders) are reaching new levels of sophistication and are now widely
and easily available. A wide variety of new tools (statistical and
probabilistic methods, ideas from the machine learning community) are
likely to be increasingly applied in computational semantics. Most
importantly of all, computational semantics seems to have reached the
stage where the exploration and development of inference is one of its
most pressing tasks - and there's a lot of interesting new work which
takes inferential issues seriously.
The Workshop on Inference in Computational Semantics (ICoS) intends to
bring researchers from areas such as Computational Linguistics,
Artificial Intelligence, Computer Science, and Logic together, in
order to discuss approaches and applications of Inference in natural
language semantics.
ICoS-3 will be co-located with the the International Joint Conference
on Automated Reasoning (IJCAR 2001, which takes place June 18-23, 2001
at Siena, Italy. IJCAR is a joint meeting of all major conferences on
automated theorem proving (CADE, FTP, TABLEAUX), and is therefore a
good chance to meet the theorem proving community.
DATES
-----
People who would like to submit a paper, system descriptions or who
would like to attend the workshop should consider the following dates:
Submission Deadline: March 15, 2001.
Notification: April 15, 2001.
Final Versions: May 15. 2001.
Early Registration until: June 1., 2001.
ICoS-3 Tutorials June 18, 2001.
ICoS-3 Workshop: June 19-20, 2001.
IJCAR: June 18-23, 2001
SUBMISSIONS
-----------
[see web page]
FURTHER INFORMATION
-------------------
If you have any questions, please contact the local organizers
Patrick Blackburn and Michael Kohlhase via [EMAIL PROTECTED]
For actual information concerning ICoS-3 please consult
http://www.cs.cmu.edu/~kohlhase/event/icos3/
------------------------------
From: "Luis Talavera" <[EMAIL PROTECTED]>
Subject: CFP: Web-based adaptive user interfaces
Date: Fri, 29 Dec 2000 16:07:25 +0100
CALL FOR PAPERS
Web-based Adaptive User Interfaces: Problems, methods and applications
http://ia-serv.dia.uned.es/personal/jgb/waui01/
Invited Session at
Fifth World Multiconference On Systemics, Cybernetics and Informatics (SCI'2001)
July 22-25, 2001
Orlando, Florida
http://www.iiis.org/sci/
Background and Motivation
Adaptive User Interfaces are software artifacts that improve
their ability to interact with a user by constructing a user
model based on partial experience with that user. Although they
can be used in a number of different tasks, Internet is one of
the domains that can benefit most from this kind of software. The
growing amount of contents and services available on the WWW
makes very difficult to find and select the pieces of information
required by the users. Web-based Adaptive User Interfaces can
provide a personalized user interaction improving the user
experience in a variety of contexts such as e-commerce, distance
education or cooperative work.
For a system to be really adaptive, simple memorization of its
interaction with the user does not suffice. Ideally, adaptation
results from generalizing previous experiences and applying these
generalizations to new user interactions, i.e., from
learning. However, although learning should play a key role in
Adaptive User Interfaces, their design goes far beyond the simple
application of a learning method. A number of research issues
have been addressed from a variety of disciplines such as as
machine learning, web mining, intelligent tutoring, adaptive
hypermedia, human-computer interaction and user modeling. The
goal of this Session is to bring together researchers and
practitioners from all of these areas to meet and discuss common
issues and problems.
Submissions
Potential participants should submit an extended abstract or
paper draft of their work in the area. Submissions will be
reviewed by independent referees from the Program Committee and
should not exceed 2000 words for extended abstracts and 5000
words for paper drafts. Paper submissions should be sent via
electronic mail as a PostScript or PDF file to
[EMAIL PROTECTED] Alternatively, 4 hard copies of the
submission can be sent to:
Elena Gaudioso
Dpto. Inteligencia Artificial
Facultad de Ciencias, UNED
Senda del Rey 9
28040 Madrid, Spain
In order to get an early estimate of the possible attendance, we would
appreciate that you send an email to [EMAIL PROTECTED] indicating
whether you intend to submit a paper. Of course, by doing so, you make
no commitment whatsoever.
Important Dates
Submission of manuscripts: 16 March, 2001
Notification of acceptance: 16 April, 2001
Camera-ready copy: 4 May, 2001
------------------------------
From: Ayse S Goker-Arslan <[EMAIL PROTECTED]>
Subject: UM2001: Workshop on User Modeling, Machine Learning and Information Retrieval
Date: Sun, 31 Dec 2000 23:01:30 +0000 (GMT)
Call for Papers
UM2001 8th International Conference on User Modeling
Workshop on User Modeling, Machine Learning and Information Retrieval
(http://www.scms.rgu.ac.uk/um2001-ws)
UM2001 Dates: July 13- 17, 2001 - Sonthofen, Germany
(http://www.dfki.de/um2001)
Topics
------
Our main goal is to build further bridges between three communities: User
Modeling, Machine Learning, and Information Retrieval.
Machine Learning (ML) is concerned with the formation of models from
observations. Hence, learning algorithms seem to be promising candidates for
user model acquisition systems.
Information Retrieval (IR) is concerned with the study of systems for
representing, organising, retrieving and delivering information based on
content.
User modeling is the glue. As the better we model users, the better we can
satisfy their information needs. We also aim to provide a forum for researchers
who are not necessarily familiar with the diverse aspects of UM/ML/IR to be able
to get acquainted with the:
* possibilities of using ML for user modeling;
* possibilities of user modeling approaches in IR;
* possible applications of ML for IR using user modeling.
Papers tackling theoretical issues but grounded with reference to practical
applications of machine learning in user modeling for information retrieval are
encouraged. Novel relevant applications as well as state-of-the-art critical
reviews, which will stimulate interdisciplinary discussion, are also welcome.
There are several themes and topics that we would like to explore:
* moving user models beyond queries in IR;
* modeling the user vs. modeling the intermediary for IR;
* matching algorithms when user models are more sophisticated;
* exploring information delivery models when user models are more sophisticated
(using both better matching and adaptive delivery);
* acquisition of user models appropriate to an information environment;
* ML solutions to support to the navigation of Web sites;
* ML solutions for intelligent information retrieval, especially in large
repositories, e.g. Digital Libraries;
* ML for extraction and management of user profiles;
* ML for building user communities based on common interests, and background;
* intelligent agents in charge of managing the interaction;
* user interaction in intelligent IR;
* evaluation of user-adaptive IR systems;
* intelligent user interfaces in IR;
* personalization of Web sites;
* personalization for Web users;
Submission
----------
[see web page for ftp guidelines and formatting instructions]
Any queries regarding submission should be sent to:
Ayse Goker, ([EMAIL PROTECTED]) or Fabio Abbattista, ([EMAIL PROTECTED])
Important Dates
---------------
March 8, 2001 - Submission deadline for Workshop papers
April 1, 2001 - Notification of Workshop authors
April 10, 2001 - Early Registration Deadline for the conference
July 13 - 17, 2001 - Main conference dates
------------------------------
Other
------------------------------
From: Geoff McLachlan <[EMAIL PROTECTED]>
Subject: New Wiley book on Mixture Models
Date: Mon, 4 Dec 2000 13:17:57 +1000 (EST)
Announcing the recent publication of the Wiley monograph ...
Title: FINITE MIXTURE MODELS
Authors: Geoff McLachlan and David Peel
This book gives an up-to-date, comprehensive account of the major issues
in modeling via finite mixture distributions.
Links statistical literature with the machine learning and pattern
recognition literature in the related areas.
Considers how the EM algorithm can be scaled to handle the fitting of
mixture models to very large databases, as in data mining applications.
Provides more than 800 references -- 40% published since 1995.
FOR MORE INFORMATION SEE http://www.maths.uq.edu.au/~gjm
------------------------------
From: Erick Cantu-Paz <[EMAIL PROTECTED]>
Subject: NEW BOOK: Efficient and Accurate Parallel Genetic Algorithms
Date: Fri, 15 Dec 2000 14:58:33 -0800 (PST)
Dear colleagues,
I am very pleased to announce the publication of my book
"Efficient and Accurate Parallel Genetic Algorithms" by
Kluwer Academic Publishers.
http://www.wkap.nl/book.htm/0-7923-7221-2
This is the first volume in Kluwer's series on Genetic Algorithms
and Evolutionary Computation. The book presents recent research
results that aid in the design of different types of parallel GAs to
find good solutions efficiently. I tried to include material to
make the book appealing to researchers as well as to novice and
seasoned practitioners.
I hope that you will find the book useful, and I welcome your
comments.
Sincerely,
Erick Cantu-Paz
FROM THE PREFACE:
As genetic algorithms (GAs) become increasingly popular, they are
applied to difficult problems that may require considerable
computations. In such cases, parallel implementations of GAs
become necessary to reach high-quality solutions in reasonable
times. But, even though their mechanics are simple, parallel GAs
are complex non-linear algorithms that are controlled by many
parameters, which are not well understood.
This book is about the design of parallel GAs. It presents
theoretical developments that improve our understanding of the
effect of the algorithm's parameters on its search quality and
efficiency. These developments are used to formulate guidelines on
how to choose the parameter values that minimize the execution
time while consistently reaching solutions of high quality.
....
TABLE OF CONTENTS
Preface
Acknowledgments
1 Introduction
2 The Gambler's Ruin and Population Sizing
3 Master-Slave Parallel GAs
4 Bounding Cases of GAs with Multiple Demes
5 Markov Chain Models of Multiple Demes
6 Migration Rates and Optimal Topologies
7 Migration and Selection Pressure
8 Fine-Grained and Hierarchical Parallel GAs
9 Summary, Extensions, and Conclusions
References
Index
------------------------------
From: Jud Wolfskill <[EMAIL PROTECTED]>
Subject: book announcement--Kargupta
Date: Thu, 21 Dec 2000 17:09:46 -0500
Advances in Distributed and Parallel Data Knowledge Discovery
edited by Hillol Kargupta and Philip Chan
foreword by Vipin Kumar
Knowledge discovery and data mining (KDD) deals with the problem of
extracting interesting associations, classifiers, clusters, and other
patterns from data. The emergence of network-based distributed computing
environments has introduced an important new dimension to this
problem--distributed sources of data. Traditional centralized KDD typically
requires central aggregation of distributed data, which may not always be
feasible because of limited network bandwidth, security concerns,
scalability problems, and other practical issues. Distributed knowledge
discovery (DKD) works with the merger of communication and computation by
analyzing data in a distributed fashion. This technology is particularly
useful for large heterogeneous distributed environments such as the
Internet, intranets, mobile computing environments, and sensor-networks.
When the data sets are large, scaling up the speed of the KDD process is
crucial. Parallel knowledge discovery (PKD) techniques addresses this
problem by using high-performance multiprocessor machines. This book
presents introductions to DKD and PKD, extensive reviews of the field, and
state-of-the-art techniques.
Hillol Kargupta is Assistant Professor and Director of the Distributed
Adaptive Discovery and Computation Group, School of Electrical Engineering
and Computer Science, Washington State University. Philip Chan is Assistant
Professor of Computer Science at the Florida Institute of Technology.
Contributors
Rakesh Agrawal, Khaled AlSabti, Stuart Bailey, Philip Chan, David Cheung,
Vincent Cho, Joydeep Ghosh, Robert Grossman, Yi-ke Guo, John Hale, John
Hall, Daryl Hershberger, Ching-Tien Ho, Erik Johnson, Chris Jones,
Chandrika Kamath, Hillol Kargupta, Charles Lo, Balinder Malhi, Ron Musick,
Vincent Ng, Byung-Hoon Park, Srinivasan Parthasarathy, Andreas Prodromidis,
Foster Provost, Jian Pun, Ashok Ramu, Sanjay Ranka, Mahesh Sreenivas,
Salvatore Stolfo, Ramesh Subramonian, Janjao Sutiwaraphun, Kagan Tummer,
Andrei Turinsky, Beat W|thrich, Mohammed Zaki, Joshua Zhang.
6 x 9, 400 pp., paper ISBN 0-262-61155-4
Distributed for AAAI Press
For more information please visit
http://mitpress.mit.edu/promotions/books/KARDPF00. Thank you.
------------------------------
End of ML-LIST Digest Vol 12, No. 11
************************************
