Machine Learning mailing list
Tue, 12 Feb 2002 00:10:09 -0800
Machine Learning List: Vol. 14, No. 2
Monday, Feb 11, 2002
Contents
Calls for Papers and Meetings Announcements
CFP: Adaptive Behavior in Anticipatory Learning Systems Workshop
SIGKDD Paper Submission Site is open
SBRN 2002 - First CFP
SIGKDD 2002 - Call for Workshop/Tutorial/Panel Proposals
ECOMAS 2002 DEADLINE EXTENDED to March 11, 2002!!
FSKD'02-ICONIP'02-SEAL'02 Call For Papers
CFP: Workshop on Recommendation and Personalization in eCommerce
PAKDD: Knowledge Discovery in Multimedia and Complex Data
ICANN 2002 Submission Deadline Extension
CFP: IEEE Data Mining 2002 (new)
Call for Papers for PAKDD 2002 Workshops
ILP 2002 CFP Deadline=20
CFP: Intelligent Data Analysis: An Invited Session in SCI2002
Job Announcements
Postdocs in Computational Biology / Bioinformatics
Postdoc in Bayesian Modeling, MCMC, bioinformatics =20
Other
two new books=20
new book: Learning with Kernels
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 Meeting Announcements
------------------------------
From: Martin Butz <[EMAIL PROTECTED]>
Subject: CFP: Adaptive Behavior in Anticipatory Learning Systems Worksh=
op (ABiALS 2002)
Date: Mon, 4 Feb 2002 16:28:22 -0600 (CST)
C A L L F O R P A P E R S
ABiALS Workshop 2002
Adaptive Behavior in Anticipatory Learning Systems
August 11., 2002
Edinburgh, Scotland
http://www-illigal.ge.uiuc.edu/ABiALS
to be held during the seventh international conference on
Simulation of Adaptive Behavior (SAB'02)
http://www.isab.org.uk/sab02/
This workshops aims for an interdisciplinary gathering of people intere=
sted
in how anticipations can guide behavior as well as how an anticipatory
influence can be implemented in an adaptive behavior system. Particular=
ly,
we are looking for adaptive behavior systems that incorporate some onli=
ne
anticipation mechanisms.
AIM AND OBJECTIVES:
Most of the research over the last years in artificial adaptive behavio=
r with
respect to model learning and anticipatory behavior has focused on the =
model
learning side. Research is particularly engaged in online generalized m=
odel
learning. Up to now, though, exploitation of the model has been done ma=
inly
to show that exploitation is possible or that an appropriate model exis=
ts in
the first place. Only very few applications exist that show the utility=
of
the model for the simulation of anticipatory processes and a consequent=
adaptive behavior.
The aim of this workshop is to bring together researchers that are inte=
rested
in anticipatory processes and essentially anticipatory adaptive behavio=
r. It
is aimed for an interdisciplinary gathering that brings together resear=
chers
from distinct areas so as to discuss the different guises that takes
anticipation in these different perspectives. But the workshop intends =
to
focus on anticipations in the form of low-level computational processes=
rather
than high-level processes such as explicit planning.
IMPORTANT DATES:
31.March 2002: Deadline for Submissions
15.May 2002: Notification of Acceptance
15.June 2002: Camera Ready Version for SAB Workshop Proceedings
11.August 2002: Workshop ABiALS
------------------------------
From: Osmar Zaiane <[EMAIL PROTECTED]>
Subject: SIGKDD Paper Submission Site is open
Date: Tue, 5 Feb 2002 18:47:19 -0700 (MST)
The Eighth ACM SIGKDD International Conference on=20
Knowledge Discovery and Data Mining (SIGKDD 2002)
There are only few days left before the paper submission deadline.
Submission of abstracts: Friday February 22, 2002=20
Submission of papers: Friday March 1, 2002=20
The web site for paper submissions is now open. You can access the
site via the conference web site at http://www.acm.org/sigkdd/kdd2002/
All papers have to be submitted electronically at the paper submission
web site. No paper will be considered without having the abstract
submitted in time, also electronically.
Note that papers for both research track and industry track have the
same deadlines.
Please check the call for papers for more details. The conference web s=
ite
is available at http://www.acm.org/sigkdd/kdd2002/
------------------------------
From: "Marcilio C. Pereira de Souto" <[EMAIL PROTECTED]>
Subject: SBRN 2002 - First CFP
Date: Wed, 6 Feb 2002 14:44:07 -0200 (EDT)
FIRST CALL FOR PAPERS
SBRN'2002 - VII BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS
(http://www.cin.ufpe.br/~sbiarn02)
Recife, November 11-14, 2002
The biannual Brazilian Symposium on Artificial Neural Networks (SBRN)
- of which this is the 7th event - is a forum dedicated to Neural
Networks (NNs) and other models of computational intelligence. The
emphasis of the Symposium will be on original theories and novel
applications of these computational models. The Symposium welcomes
paper submissions from researchers, practitioners, and students
worldwide. The proceedings will be published by the IEEE Computer
Society. Selected, extended, and revised papers from SBRN'2002 will be
also considered for publication in a special issue of the
International Journal of Neural Systems and of the Journal of
Intelligent and Fuzzy Systems.
SBRN'2002 is sponsored by the Brazilian Computer Society (SBC) and
co-sponsored by SIG/INNS/Brazil Special Interest Group of the
International Neural Networks Society in Brazil. It will take place
November 11-14, and will be held in Recife at a beach resort. Recife,
located on the northeast coast of Brazil, is known as the "Brazilian
Venice" because of its many canals and waterways and the innumerable
bridges that span them. It is the major gateway to the Northeast with
regular flights to all major cities in Brazil as well as Lisbon,
London, Frankfurt, and Miami. See more information about the place (
http://www.braziliantourism.com.br/pe-pt1-en.html) that will host the
event.
SBRN'2002 will be held in conjunction with the XVI Brazilian Symposium
on Artificial Intelligence (http://www.cin.ufpe.br/~sbiarn02) (SBIA).
SBIA has its main focus on symbolic AI. Crossfertilization of these
fields will be strongly encouraged. Both Symposiums will feature
keynote speeches and tutorials by world-leading researchers. The
deadline for submissions is April 15, 2002. More details on paper
submission and conference registration will be coming soon.
DEADLINES:
Submission: 15 April 2002
Acceptance: 17 June 2002
Camera-ready: 22 August 2002
PAPER SUBMISSION:
Prospective authors are invited to submit 6-page, 11-point,
double-column papers (postscript or pdf format) written in English,
Portuguese or Spanish - see the style file at
(http://computer.org/cspress/instruct.htm). More details on paper
submission and conference registration will be coming soon.
------------------------------
From: Osmar Zaiane <[EMAIL PROTECTED]>
Subject: SIGKDD 2002 - Call for Workshop/Tutorial/Panel Proposals
Date: Wed, 6 Feb 2002 18:09:02 -0700 (MST)
SIGKDD -- WORKSHOPS/TUTORIALS/PANELS
CALL FOR PROPOSALS -- DEADLINE: FEBRUARY 22, 2002
The Eighth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining
July 23-26, 2002
Edmonton, Alberta, Canada
Call for Workshop, Tutorial, and Panel Proposals
In the past few years, the ACM SIGKDD conference has established itself=
as one of the premier conferences on knowledge discovery and data
mining. To continue with this tradition, the eighth ACM SIGKDD
conference will provide a forum for the academic researchers and
industry practitioners to share their research and experience. The
conference will be co-located with AAAI. It will feature keynote
presentations, plenary paper presentations, poster presentations,
tutorials, workshops, panels, as well as the KDD Cup competition.
The organizing committee is soliciting proposals for Workshops,
Tutorials and Panels related to KDD. (details below)
More details can be found at http://www.acm.org/sigkdd/kdd2002/
IMPORTANT DATES
February 22, 2002 --- Workshop/Tutorial/Panel proposals due
------------------------------
From: "Robert E. Smith" <[EMAIL PROTECTED]>
Subject: ECOMAS 2002 DEADLINE EXTENDED to March 11, 2002!!
Date: Thu, 7 Feb 2002 17:58:51 -0000
Due to lots of impending deadlines for everyone, we are extending the
ECOMAS 2002 Deadline to March 11, 2002.
Evolutionary COmputation and Multi-Agent Systems (ECOMAS 2002)
A Birds-Of-A-Feather Workshop At
GECCO 2002
Description Of The Workshop Topic
Multi-agent systems (MAS) are collections of interacting autonomous
entities. The behaviour of the MAS is a result of the repeated
asynchronous action and interaction of the agents. Understanding how
to engineer adaptation and self-organisation is thus central to the
application of agents on a large scale. Moreover, multi-agent
simulations can also be used to study emergent behaviour in real
systems.
Desirable self-organisation is observed in many biological, social and
physical systems. However, fostering these conditions in artificial
systems proves to be difficult and offers the potential for
undesirable behaviours to emerge. Thus, it is vital to be able to
understand and shape emergent behaviours in agent based
systems. Current mathematical and empirical tools give only a partial
insight into emergent behaviour in large, agent-based societies. EC
provides a paradigm for addressing this need. Moreover, EC techniques
are inherently based on a distributed paradigm (natural evolution),
making them particularly well suited for adaptation in agents.
At the same time, ideas from natural ecosystems or economies, such as
resource flows, niches, and spatial context or neighbourhood can
contribute both to the development of MAS and to the improvement of EC
techniques. The interaction between these different sources of natural
inspiration and the two computing disciplines of MAS and EC is
beginning to stimulate a range of systems with properties that extend
the MAS and EC concepts in new and interesting directions. Notable
examples of systems of that begin to examine the issues of EC in MAS
include Holland's ECHO system, Tierra, Avalanche, Egglets, Amalthaea,
InfoSpiders, and many others.
The workshop follows ECoMAS 2001, which was conducted at
GECCO-2001. With more than 70 attendees, ECoMAS 2001 was, in our
opinion, a great success. As a result of that workshop (and in order
to address a pressing need shared by the majority of the attendees),
we have created, organised and launched a new Internet interested
community: the ECoMAS Community.
Community homepage: www.csm.uwe.ac.uk/~rsmith/ECOMAS/index.htm
There is also a discussion forum associated to the community:
Forum homepage: http://groups.yahoo.com/group/ecomas
IMPORTANT DATES:
Submissions Due: March 11, 2002
Review Decisions To Authors: March 25, 2002
Camera Ready Due: April 23, 2002
Web Materials Due: June 1, 2002
GECCO 2002 Dates: July 9-13, 2002
------------------------------
From: "ICONIP'02-SEAL'02-FSKD'02" <[EMAIL PROTECTED]>
Subject: FSKD'02-ICONIP'02-SEAL'02 Call For Papers
Date: Fri, 8 Feb 2002 15:57:19 +0800
International Conference on Fuzzy Systems and Knowledge Discovery=20=
(FSKD'02)
9th International Conference on Neural Information Processing=20
(ICONIP'02)
4th Asia-Pacific Conference on Simulated Evolution And Learning=20
(SEAL'02)
November 18 - 22, 2002, Orchid Country Club, Singapore
http://www.ntu.edu.sg/home/nef =20
=20
Organized by:
School of Electrical and Electronic Engineering
Nanyang Technological University, Singapore
Sponsored by:
Asia-Pacific Neural Network Assembly
SEAL & FSKD Steering Committees
Lee Foundation
In Co-Operation with:
IEEE Neural Network Council
International Neural Network Society=20
European Neural Network Society=20
SPIE=20
CALL FOR PAPERS
FSKD'02, ICONIP'02, and SEAL'02 will be jointly held in Orchid Country
Club, Singapore from November 18 to 22, 2002. The conferences will=20
not only feature the most up-to-date research results in neural=20
information processing, evolutionary computation, fuzzy systems, and=20=
knowledge discovery, but also promote cross-fertilization over these=20=
exciting and yet closely-related areas. Registration to any one of the=20=
conferences will entitle a participant to the technical sessions and=20=
the proceedings of all three conferences, as well as the conference=20
banquet, buffet lunches, and tours to two of the major attractions in=20=
Singapore, i.e., Night Safari and Sentosa Resort Island. Many well-
known researchers will present keynote speeches, panel discussions,=20
invited lectures, and tutorials.
SUBMISSION OF PAPERS=20
Authors are invited to submit electronic files (postscript, pdf or=20
Word format) through the conference home page. Papers should be=20
double-column and use 10 pt Times Roman or similar fonts. The final
version of a paper should not exceed 5 pages in length. A selected=20
number of accepted papers will be expanded and revised for possible=20
inclusion in edited books and peer-reviewed journals, such as=20
"Soft Computing" and "Knowledge and Information Systems: An=20
International Journal" by Springer-Verlag.
SPECIAL SESSIONS
The conferences will feature special sessions on specialized topics=20
to encourage in-depth discussions. To propose a special session,=20
email the session title, contact information of the organizer(s),=20
and a short description on the theme and topics covered by=20
the session to Xin Yao, Special Sessions Chair ([EMAIL PROTECTED]),=20=
with a copy to Lipo Wang, General Chair (Cc: [EMAIL PROTECTED]). =20
IMPORTANT DATES
=09Paper/Summary Deadline : April 30, 2002
=09Notification of Acceptance : July 15, 2002
=09Final Paper/ Registration : August 15, 2002
FOR MORE INFORMATION=20
Please visit the conference home page.
------------------------------
From: [EMAIL PROTECTED]
Subject: CFP: Workshop on Recommendation and Personalization in eCommer=
ce
Date: Fri, 08 Feb 2002 12:16:16 +0100 (MET)
CALL FOR PAPERS
WORKSHOP ON RECOMMENDATION AND PERSONALIZATION IN ECOMMERCE
28/5/2002 - Malaga, Spain
http://ectrl.itc.it/rpec/
at 2nd International Conference on Adaptive Hypermedia and=20
Adaptive Web Based Systems
29/5/2002 - 31/5/2002, Malaga, Spain
http://sirius.lcc.uma.es/AH2002/
Electronic commerce is the process of managing business occurring=20
over networks, which use non-proprietary protocols such as Internet.
Recommender systems are e-commerce applications that provide=20
advice to users about products or services they might be interested in.=
=20
Web based recommender systems are the most notable application of=20
the web personalization, i.e., the process of tailoring a web site to=20=
individual users' characteristics or preferences. Recommender systems=20=
are exploiting a vast range of AI technologies and are defining new=20
scenarios for human to human and human to machine interaction. The=20
ultimate goal is to offer an enhanced one-to-one solution for each=20
single user and meet his needs more effectively and efficiently.
There remain difficulties limiting the full exploitation of=20
personalization and recommendation, arising both from technology =20
and from the "human factor." The goal of this workshop is to bring=20
together academic and industrial researchers to discuss the most=20
innovative approaches to recommendation in the context of=20
personalised e-Commence applications and in particular to discuss=20
emerging related topics such as: modelling decision making in=20
recommendation systems, cooperative query answering, session=20
modelling, user modelling, web mining, methodologies for comparison=20
and explanation of recommendations.
Electronic submission: e-mail a PDF version of your manuscript to the=20=
workshop organizer at [EMAIL PROTECTED]
WORKSHOP WEB SITE: http://ectrl.itc.it/rpec/
IMPORTANT DATES
Extended abstract submission deadline=09=09March 24th 2002
Notification of acceptance=09=09=09April 15th 2002
Final version due=09=09=09=09May 5th 2002
Date of the workshop=09=09=09=09May 28th 2002
------------------------------
From: Osmar Zaiane <[EMAIL PROTECTED]>
Subject: PAKDD: Knowledge Discovery in Multimedia and Complex Data
Date: Fri, 8 Feb 2002 10:47:07 -0700 (MST)
CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS
International Workshop on=20
Knowledge Discovery in Multimedia and Complex Data=20
(KDMCD'02)
Taipei, Taiwan, May 6, 2002=20
http://db.cs.ualberta.ca/kdmcd02/=20
In conjunction with the Sixth Pacific-Asia Conference on Knowledge
Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 6-8 2002=20
http://arbor.ee.ntu.edu.tw/pakdd02/
OBJECTIVES Multimedia Data Mining, also known as Knowledge Discovery
from Multimedia, is not Information Retrieval from multimedia,
contrary to popular belief, but the extraction of interesting patterns
and new facts from multimedia objects. Knowledge discovery in
multimedia databases is focused on the synergy between two fields:
Knowledge Discovery and Multimedia Databases. Knowledge discovery and
data mining, which consist in extracting valuable and relevant
knowledge from large volumes of data, have received much attention
these last years. The approaches used for knowledge discovery are
non-trivial and often domain specific, depending on the canonical
mining primitives. The data patterns discovered are typically used in
decision-making whether in business, in scientific research or
other. While significant research has been done on knowledge discovery
from large corpora, most of the approaches are related to numerical
transactional data such as market-basket analysis, web activities,
etc., thus very little has been achieved on mining multimedia data
probably due to the complexity of multimedia and multimedia
repositories.
The aim of this workshop is to bring together experts in digital media
content analysis, state-of-art data mining and knowledge discovery in
multimedia database systems, knowledge engineers and domain experts
from diverse applied disciplines with potential in multimedia data
mining.
TOPICS OF INTEREST=20
The major topics of the workshop include but are not limited to: =20
- Multimedia specific data mining methods and algorithms, =20
- Complexity, efficiency & scalability of multimedia data mining algor=
ithms, =20
- Multimedia data mining and interactive exploration, =20
- Data and Knowledge visualization, =20
- Mining and analysis of data generated by virtual reality systems, =20=
- Integrated data mining of text and image data, =20
- Discovery in musical data, =20
- Methods for the evaluation of mining results, =20
- Knowledge Discovery in other complex data (Spatial, VRML, XML, etc.)=
, =20
- Data description languages, meta data, data formats, =20
- Representation of discovered knowledge for data mining in multimedia=
, =20
- Multimedia data representation and reuse of discovered knowledge, =20=
- Techniques for web multimedia preparation, including cleaning, =20
- Transforming, sampling, =20
- Multimedia mining methodologies for different web data types, =20
- Web-content mining, =20
- Internet portal and multimedia mining, =20
- Multimedia applications of knowledge discovery, =20
- Intelligent electronic documents, - Content-based discovery methods.=
=20
We also encourage submissions, which present early stages of research
work, software applications and solutions.=20
IMPORTANT DATES=20
Paper submission: February 15, 2002
Notification: March 1, 2002=20
Camera-ready: March 15, 2002=20
------------------------------
From: Jose Dorronsoro <[EMAIL PROTECTED]>
Subject: ICANN 2002 Submission Deadline Extension
Date: Fri, 08 Feb 2002 19:10:11 +0100
ICANN 2002 Submission Deadline Extension
Because of numerous requests, the February 15 deadline for submission o=
f
papers to the 12th International Conference on Artificial Neural Networ=
ks,
ICANN 2002, has been extended to February 28. Acceptance or rejection =
will be=20
notified by April 15, 2002
Submissions must be in postscript or pdf format and can be either=20
uploaded or sent by surface mail or e-mail attach. Please check the aut=
hor's
instructions in the ICANN 2002 web page, www.ii.uam.es/icann2002.=20
Notice also that, in any case, a Unique Tracking Number must be obtaine=
d
first for each submission.=20
The very simple procedure for UTN getting can also be started from=20
the ICANN 2002 web page.
------------------------------
From: [EMAIL PROTECTED]
Subject: CFP: IEEE Data Mining 2002 (new)
Date: Sun, 10 Feb 2002 00:36:18 +0900
!!! NOTE: The Conference Date Changed to December 9-12, 2002 !!!
ICDM '02: The 2002 IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society
Maebashi TERRSA, Maebashi City, Japan
December 9 - 12, 2002=20
Home Page: http://kis.maebashi-it.ac.jp/icdm02
Mirror Page: http://www.wi-lab.com/icdm02 =20
The 2002 IEEE International Conference on Data Mining (IEEE ICDM '02)
provides a leading international forum for the sharing of original
research results and practical development experiences among
researchers and application developers from different data mining
related areas such as machine learning, automated scientific
discovery, statistics, pattern recognition, knowledge acquisition,
soft computing, databases and data warehousing, data visualization,
and knowledge-based systems. The conference seeks solutions to
challenging problems facing the development of data mining systems,
and shapes future directions of research by promoting high quality,
novel and daring research findings. As an important part of the
conference, the workshops program will focus on new research
challenges and initiatives.
TOPICS OF INTEREST
Topics related to the design, analysis and implementation of data
mining theory, systems and applications are of interest. These
include, but are not limited to the following areas:
- Foundations and principles of data mining=20
- Data mining algorithms and methods in traditional areas (such as
classification, clustering, probabilistic modeling, and
association analysis), and in new areas
- Data and knowledge representation for data mining=20
- Modeling of structured, textual, temporal, spatial, multimedia and
Web data to support data mining
- Complexity, efficiency, and scalability issues in data mining
- Data pre-processing, data reduction, feature selection and feature
transformation
- Statistics and probability in large-scale data mining
- Soft computing (including neural networks, fuzzy logic,
evolutionary computation, and rough sets) and uncertainty
management for data mining
- Integration of data warehousing, OLAP and data mining=20
- Man-machine interaction in data mining and visual data mining=20
- Artificial intelligence contributions to data mining=20
- High performance and distributed data mining=20
- Machine learning, pattern recognition and automated scientific
discovery
- Quality assessment and interestingness metrics of data mining
results
- Process centric data mining and models of data mining process=20
- Security and social impact of data mining=20
- Emerging data mining applications, such as electronic commerce,
bioinformatics, Web intelligence, and intelligent learning database=
=20
systems
Important Dates
June 5, 2002 Main track paper submissions=20
Industry track paper submissions=20
June 30, 2002 Tutorial submissions
Panel submissions
Workshop proposals
August 16, 2002 Paper acceptance notices
September 12, 2002 Final camera-readies
December 9-12, 2002 Conference
All paper submissions will be handled electronically. Detailed
instructions are provided on the conference home page at
http://kis.maebashi-it.ac.jp/icdm02 and http://www.wi-lab.com/icdm02
------------------------------
From: Huan Liu <[EMAIL PROTECTED]>
Subject: Call for Papers for PAKDD 2002 Workshops
Date: Sun, 10 Feb 2002 15:24:51 -0700
http://arbor.ee.ntu.edu.tw/pakdd02/
There will be five workshops at PAKDD 2002. They are
W1: Web Mining Technologies and Wireless Applications
Chaired by Jushua Huang and Qiang Yang
W2: Knowledge Discovery in Multimedia and Complex Data
Chaired by Chabane Djeraba and Osmar R. Zaiane
W3: Mining Data across Multiple Customer Touchpoints for CRM
Chaired by San-Yih Hwang, Ee-Peng Lim, Jaideep Srivastava, and=
Jau Hwang Wang
W4: Toward the Foundation of Data Mining
Chaired by T.Y. Lin and C.J. Liau
W5: Text Mining
Chaired by George Karypis, Ah-Hwee Tan, and Eui-Hong (Sam) Han=
The details and contact information about each workshop can be found at=
:=20
http://www.public.asu.edu/~huanliu/pakdd-wk02.html
------------------------------
From: [EMAIL PROTECTED]
Subject: ILP 2002 CFP Deadline=20
Date: Mon, 11 Feb 2002 09:28:30 -0800 (PST)
=09=09 Inductive Logic Programming 2002
=09=09 Paper Submission Deadline
=09=09=09 Feb. 17, 2002.
See www.site.uottawa.ca/~stan/ilp2002 for the topics list. There is a
strong push to extend conference coverage to relational learning in
representations other than Prolog, to link discovery, and to learning
of probabilistic relations.
------------------------------
From: Richi Nayak <[EMAIL PROTECTED]>
Subject: CFP: Intelligent Data Analysis: An Invited Session in SCI2002
Date: Tue, 12 Feb 2002 13:41:28 +1000
CALL FOR PAPERS
INVITED SESSION
INTELLIGENT DATA ANALYSIS
IN CONJUNCTION WITH
THE 6TH WORLD MULTI-CONFERENCE ON SYSTEMICS,
CYBERNETICS, AND INFORMATICS (SCI 2002)
Sheraton World Resort, Orlando, Florida, USA
July 14-18, 2002
Conference Site
http://www.iiis.org/sci2002/
SESSION DESCRIPTION
Advances in data collection methods, storage methods and processing
technologies are providing a unique challenge and opportunity for
intelligent data analysis. Enormous amounts of data are being
collected daily in many fields of knowledge, from science to
engineering, from management to process control and from research to
entertainment. This explosive growth in data has generated an urgent
need for techniques and tools that can intelligently and automatically
transform the processed data into useful information and
knowledge. Analysis of these data gives a better understanding of the
phenomenon of interest. The main objective of any data analysis is
therefore to discover knowledge that will be used to solve problems or
make decisions.
Data analysts now have access to tools for decision tree induction,
neural induction, second generation and commercial data mining,
pre-processing, post-processing and visualisation. There are tools for
traditional, relatively small samples and also for enormous
datasets. In brief, the scope for analysing data in intelligent ways
has never been so exciting.
The aim is to bring together a wide variety of researchers concerned
with extracting knowledge from data, including people from machine
learning, neural networks, information systems, computer science,
pattern recognition, database management, statistics and other
areas. This invited session aims to provide a forum for researchers
and practitioners in these different area to exchange ideas and
inspiration, so that a better understanding is developed of the
process of intelligent data analysis. We encourage submission of
papers on a wide spectrum of topics including, but not restricted to
the following:
ALGORITHMS & TECHNIQUES:
data mining
data pre-processing
data post-processing
information extraction, information retrieval
decision analysis
data analysis
knowledge-based analysis
machine learning
pattern recognition
visualization
SCHEDULE
Submission of paper title and authors details: February 18, 2002
Full paper submission: March 11, 2002
Notification of acceptance: March 31, 2002
Camera ready copies submission: April 15, 2002
------------------------------
Jobs
------------------------------
From: Jude Shavlik <[EMAIL PROTECTED]>
Subject: Postdocs in Computational Biology / Bioinformatics
Date: Fri, 08 Feb 2002 13:31:06 -0600
Post-Doctoral Opportunities in the New UW-Madison
Computation and Informatics for Biology and Medicine (CIBM)
Training Program
The University of Wisconsin - Madison has recently been awarded
funding from the National Library of Medicine for a new
interdisciplinary training program in computational biology /
bioinformatics. This grant includes several post-doctoral positions,
and we are looking for machine learning researchers interested in
post-doctoral training in this rapidly growing area.
Due to federal rules, these post doc's are limited to US citizens and
permanent residents. Stipends are set by the National Institutes of
Health (see
http://grants.nih.gov/grants/guide/notice-files/NOT-OD-02-028.html)
Please see http://www.cs.wisc.edu/areas/ai/uwcompbio.html
for more information about our research activities in this area.
Information on the Wisconsin CIBM training program can be found
at http://www.cibm.wisc.edu/
=09=09Mark Craven ([EMAIL PROTECTED])
David Page ([EMAIL PROTECTED])
Jude Shavlik ([EMAIL PROTECTED])
Department of Computer Sciences
University of Wisconsin
1210 West Dayton Street
Madison, WI 53706
PS - We also have pre-doctoral traineeships for people interested in
this research area. However, applications for Fall 2002 are already
closed and the next application deadline is Dec 31, 2001, for Fall 2003=
(see http://www.cs.wisc.edu/grad_admissions.html).
------------------------------
From: ML-list request administration <[EMAIL PROTECTED]>
Subject: Postdoc in Bayesian Modeling, MCMC, bioinformatics
Date: Mon, 11 Feb 2002 18:07:19 -0800 (PST)
Postdoctoral position in
BAYESIAN MODELING, MARKOV CHAIN MONTE CARLO, BIOINFORMATICS
Radford Neal, University of Toronto
=20
I am looking for a postdoc who is interested in the following areas:
o Bayesian statistical modeling, especially flexible models=20
such as those based on Dirichlet process mixtures, neural=20
networks, and Gaussian processes.
o Markov chain Monte Carlo methods, either general in scope, or
tailored to specific Bayesian models.
o Applications of flexible models in bioinformatics, especially
analysis of spectroscopic data, analysis of gene expression=20
data from DNA microarrays, and inference for phylogenetic trees.
=20
Candidates should have a PhD in a relevant discipline (or be about to
receive one), and have an excellent background in at least one of the
above areas, plus a willingness and ability to learn about the others.
This position is for one year, with possibility of extension to two
years, starting no later than August 2002 (preferably sooner). There
will be opportunities to apply for sessional teaching in Statistics or
Computer Science if desired.
The University of Toronto has a large and diverse group of faculty,
graduate students, and postdocs in Statistics and in Machine Learning.
To learn more about what is going on here, visit the Statistics site
at http://utstat.utoronto.ca and the web site for the Machine Learning
group (in Computer Science) at http://www.cs.utoronto.ca/learning/.
For more about my personal research interests, see my web pages at
http://www.cs.utoronto.ca/~radford/.
Applicants should EMAIL a CV, the email addresses of two references,
and a description of their research background and interests to me at
[EMAIL PROTECTED] Plain text is preferred, but Postscript, PDF,
and (if you really have to) MS Word documents will also be read. All
applications that are received by February 15 will be considered.
Those received after that will be considered if the position has not
already been filled.
Radford M. Neal [EMAIL PROTECTED]=
to.ca
Dept. of Statistics and Dept. of Computer Science [EMAIL PROTECTED]=
to.ca
University of Toronto http://www.cs.utoronto.ca/~ra=
dford
------------------------------
Other
------------------------------
From: Jud Wolfskill <[EMAIL PROTECTED]>
Subject: two new books=20
Date: Wed, 06 Feb 2002 15:08:07 -0500
Learning Kernel Classifiers
Theory and Algorithms
Ralf Herbrich
http://mitpress.mit.edu/026208306X/
This book provides the first comprehensive overview of both the theory =
and=20
algorithms of kernel classifiers, including the most recent development=
s.=20
It begins by describing the major algorithmic advances: kernel perceptr=
on=20
learning, kernel Fisher discriminants, support vector machines, relevan=
ce=20
vector machines, Gaussian processes, and Bayes point machines. Then fol=
lows=20
a detailed introduction to learning theory, including VC and PAC-Bayesi=
an=20
theory, data-dependent structural risk minimization, and compression=20=
bounds. Throughout, the book emphasizes the interaction between theory =
and=20
algorithms: how learning algorithms work and why. The book includes man=
y=20
examples, complete pseudo code of the algorithms presented, and an=20
extensive source code library.
7 x 9, 384 pp., cloth 0-262-08306-X
Adaptive Computation and Machine Learning series
The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology=
Clark Glymour
http://mitpress.mit.edu/0262072203
In his new book, Clark Glymour provides an informal introduction to the=
=20
basic assumptions, algorithms, and techniques of causal Bayes nets and=20=
graphical causal models in the context of psychological examples. He=20=
demonstrates their potential as a powerful tool for guiding experimenta=
l=20
inquiry and for interpreting results in developmental psychology, cogni=
tive=20
neuropsychology, psychometrics, social psychology, and studies of adult=
=20
judgment. Using Bayes net techniques, Glymour suggests novel experiment=
s to=20
distinguish among theories of human causal learning and reanalyzes vari=
ous=20
experimental results that have been interpreted or misinterpreted--with=
out=20
the benefit of Bayes nets and graphical causal models. The capstone=20
illustration is an analysis of the methods used in Herrnstein and Murra=
y's=20
book The Bell Curve; Glymour argues that new, more reliable methods of =
data=20
analysis, based on Bayes nets representations, would lead to very diffe=
rent=20
conclusions from those advocated by Herrnstein and Murray.
6 x 9, 250 pp., 100 illus., ISBN cloth 0-262-07220-3
A Bradford Book
------------------------------
From: Jud Wolfskill <[EMAIL PROTECTED]>
Subject: new book: Learning with Kernels
Date: Thu, 07 Feb 2002 14:16:45 -0500
Learning with Kernels
Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Sch=F6lkopf and Alexander J. Smola
In the 1990s, a new type of learning algorithm was developed, based on=20=
results from statistical learning theory: the Support Vector Machine (S=
VM).=20
This gave rise to a new class of theoretically elegant learning machine=
s=20
that use a central concept of SVMs--kernels--for a number of learning=20=
tasks. Kernel machines provide a modular framework that can be adapted =
to=20
different tasks and domains by the choice of the kernel function and th=
e=20
base algorithm. They are replacing neural networks in a variety of fiel=
ds,=20
including engineering, information retrieval, and bioinformatics.
Learning with Kernels provides an introduction to SVMs and related kern=
el=20
methods. Although the book begins with the basics, it also includes the=
=20
latest research. It provides all of the concepts necessary to enable a=20=
reader equipped with some basic mathematical knowledge to enter the wor=
ld=20
of machine learning using theoretically well-founded yet easy-to-use ke=
rnel=20
algorithms and to understand and apply the powerful algorithms that hav=
e=20
been developed over the last few years.
Bernhard Sch=F6lkopf is Director at the Max Planck Institute for Biolog=
ical=20
Cybernetics in T=FCbingen and a Researcher at Biowulf Technologies in N=
ew=20
York City. Alexander J. Smola is Leader of the Machine Learning Group,=20=
Research School for Information Sciences and Engineering, the Australia=
n=20
National University.
8 x 10, 632 pp., 138 illus., cloth, ISBN 0-262-19475-9
Adaptive Computation and Machine Learning series
For more information, please visit=20
http://mitpress.mit.edu/0262194759/ =20
------------------------------
End of ML-LIST Digest Vol 14, No. 2
***********************************=20