Machine Learning List: Vol. 14, No. 10
Sunday, Dec 8, 2002
Contents
Calls for Papers and Meeting Announcements
CFP: workshops, 3rd SIAM Intl. Conf. on Data Mining (2003)
CFP: LAA in EC
Deadline Extended: Special Issue Machine Learning in Scheduling
ICML-2003 Call for Workshops and Tutorial
ECML/PKDD-2003 Call for Papers
CFP: AI & Creativity in Arts and Science 2003
MLnet-list: MCS 2003 call for papers
MLnet-list: Call for Papers: ISMIS 2003
CFP for the 2nd K-CAP: International Conference on Knowledge Capture
Career Opportunities
Computational Biology Faculty Search at UW-Madison
[Imageworld] Post-doc and Senior researcher positions available
MLnet-list: Postdoc in Machine Learning, Gatsby Unit, London
FACULTY POSITION, Rutgers University - Cognitive Neuro/Science
Brown Brain Science Program Faculty Positions
Other Items of Interest
LS-SVMs: book announcement
LS-SVMlab announcement
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.
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From: Aleksandar Lazarevic <[EMAIL PROTECTED]>
Subject: CFP: workshops, 3rd SIAM Intl. Conf. on Data Mining (2003)
Date: Sat, 23 Nov 2002 16:08:11 -0600 (CST)
CALL FOR PAPERS
Workshops at the
Third SIAM International Conference on Data Mining (2003)
Cathedral Hill Hotel, San Francisco, CA,
May 1-3, 2003
URL: http://www.siam.org/meetings/sdm03/
The SIAM International Conference on Data Mining will feature several
workshops on special topics to be held during the conference. The
deadline for submissions papers to the workshops are:
Paper Submissions due: February 1 2003.
Notification to authors: March 1 2003.
Final papers due: March 30 2003.
The following workshops will be featured at the conference:
High Performance, Pervasive, and Data Stream Mining
URL: http://www.cis.ohio-state.edu/%7Esrini/hpdm03.html
Discrete Mathematics and Data Mining
URL: http://rutcor.rutgers.edu/%7Edm_dm/
April 4, 2003 Paper submission for Special Issue of Discrete
Applied Mathematics (optional)
Text Mining
URL: http://www.cs.utk.edu/tmw03/
Scientific Data Mining
URL: http://www.cs.colorado.edu/%7Emburl/MSD03/
Data Mining for Counter Terrorism and Security
http://ic.arc.nasa.gov/%7Eashok/SIAM_2003_Conference.htm
Clustering High Dimensional Data and its Applications
http://www.cs.utexas.edu/users/inderjit/sdm03.html
------------------------------
From: Yaochu Jin <[EMAIL PROTECTED]>
Subject: CFP: LAA in EC
Date: Wed, 27 Nov 2002 18:42:27 +0100 (MET)
Call for Papers
Learning, Adaptation and Approximation in Evolutionary Computation
A full-day worshop within the
Genetic and Evolutionary Computation Conference (GECCO)
July 12 - 16, 2003, Chicago, USA.
URL: http://www.icos.ethz.ch/gecco03/gecco_workshop.html
OBJECTIVE & SCOPE
In this workshop, we will bring together researchers from fields in
machine learning and evolutionary optimization to discuss how the
combination of learning, adaptation, and approximation can improve the
efficiency of evolutionary algorithms. Topics include but are not
limited to
o off-line and on-line learning for approximate model construction,
o off-line and on-line learning for performance improvement,
o step size adaptation techniques for evolution strategies,
o individual learning that guides evolution (Baldwin effect),
o self-organization and dimensionality reduction for evolving
populations
o domain knowledge extraction and reuse,
o evolution control and model management in evolutionary computation,
o multi-level evolutionary optimization,
o learning in multi-objective evolutionary optimization,
o fitness estimation in noisy environment,
o comparison of different modeling methods, such as neural networks,
response surface, Gaussian processes, least squares methods,
and probabilistic models for evolutionary computation,
o comparison of different sampling techniques for on-line and
off-line learning.
IMPORTANT DATES:
March 7, Paper submission deadline
March 19, Notification of paper acceptance/rejection.
April 14, Camera ready paper
SUBMISSION
Authors should follow the format of the GECCO manuscript style,
refer to http://www.isgec.org/GECCO-2003/ for details.
------------------------------
From: Sanja Petrovic <[EMAIL PROTECTED]>
Subject: Deadline Extended: Special Issue Machine Learning in Scheduling
Date: Wed, 27 Nov 2002 18:48:06 +0000
CALL FOR PAPERS:
Special Issue of JOURNAL OF SCHEDULING on
EXPERT SYSTEMS AND MACHINE LEARNING IN SCHEDULING
Please note: DEADLINE HAS BEEN EXTENDED TO JANUARY 31, 2003.
Guest Editor: Sanja Petrovic
In recent years there has been an increased interest in the
application of expert system methodology to solving complex planning
and scheduling problems. This technology provides an appropriate way
to build systems that can make use of the knowledge and experience of
scheduling experts.
A number of promising research areas have become apparent. Particular
examples include scheduling systems which are able to learn and adapt
to new situations, systems which can handle uncertain knowledge and
incomplete information, etc.
A special issue of the Journal of Scheduling will be devoted to expert
systems and machine learning technology across a variety of scheduling
and scheduling-related problems and domains.
Topics covered in the special issue may include, but are not restricted
to, machine learning and expert system approaches to:
- dynamic scheduling environments
- repair problems
- evaluation of schedules
- planning and scheduling of large size problems
- distributed planning and scheduling
Potential papers could cover a variety of expert systems/machine
learning research areas including:
- case based reasoning
- neural networks
- fuzzy logic
- artificial immune systems
- constraint-based scheduling
DATES AND INFORMATION:
Deadline for submissions: January 31, 2003
Notification of decision: July 1, 2003
Final versions due: December 1, 2003
Special issue will appear: 2004
Detailed instructions for authors can be found on the Notes for
Contributors page of any issues of the journal or on the Web page on
"Journal of Scheduling":
http://www.interscience.wiley.com/jpages/1094-6136/
------------------------------
From: "Dunja Mladenic" <[EMAIL PROTECTED]>
Subject: ICML-2003 Call for Workshops and Tutorial
Date: Fri, 29 Nov 2002 10:19:07 +0100
Call for Workshop and Tutorial proposals for ICML-2003
<http://www.hpl.hp.com/conferences/icml03/>
The ICML-2003 Organizing Committee invites proposals for workshops and
tutorials to be presented at the Twentieth International Conference on
Machine Learning (ICML-2003). The workshops and tutorials will be
held on the first day of the conference, August 21, 2003, at the
conference site.
Anyone interested in organizing a workshop or presenting a tutorial at
the conference should submit a proposal follwing the guidelines
provided in the Call for Proposals:
for Workshops by January 17, 2003 and
for Tutorials by February 15, 2003,
For full Call for proposals, see
http://www.cs.cmu.edu/~dunja/ICML2003/
or
http://ai.ijs.si/dunja/ICML2003/
------------------------------
From: ECML/PKDD-2003 Conferences <[EMAIL PROTECTED]>
Subject: ECML/PKDD-2003 Call for Papers
Date: Fri, 29 Nov 2002 15:22:18 +0100 (CET)
Call for Papers
ECML/PKDD-2003
http://www.cs.kuleuven.ac.be/conference/ecmlpkdd/
14th European Conference on Machine Learning (ECML-2003)
7th European Conference on Principles and Practice of
Knowledge Discovery in Databases (PKDD-2003)
September 22-26, 2003, Cavtat-Dubrovnik, Croatia
The 14th European Conference on Machine Learning (ECML) and the 7th
European Conference on Principles and Practice of Knowledge Discovery
in Databases (PKDD) will be co-located in Cavtat, a small tourist town
near Dubrovnik, Croatia, on September 22-26, 2003. Co-ordination of
the two conferences provides ample opportunities for
cross-fertilization between the two areas, and follows the success of
jointly organized ECML/PKDD in 2001 and 2002.
IMPORTANT DATES
Submission deadline: Wednesday April 30, 2003
Notification of acceptance: Wednesday June 11, 2003
Camera-ready copies due: Wednesday July 2, 2003
Conferences: Monday September 22 to Friday September 26, 2003
ECML Call for Papers
The European Conference on Machine Learning series is intended to
provide an international forum for the discussion of the latest high
quality research results in machine learning and is the major European
scientific event in the field. Submissions are invited that describe
empirical and theoretical research in all areas of machine
learning. Submissions of papers that describe the application of
machine learning methods to real-world problems are encouraged.
Topics of interest (non-exhaustive list): abduction, analogy,
applications, artificial neural networks, Bayesian networks,
case-based reasoning, cognitive modeling, computational learning
theory, cooperative learning, decision trees, evolutionary
computation, grammatical inference, inductive learning, inductive
logic programming, information retrieval and learning, instance based
learning, kernel methods, knowledge acquisition and learning,
knowledge base refinement, knowledge intensive learning, machine
learning of natural language, meta learning, multi-agent learning,
multi-strategy learning, pattern recognition, planning and learning,
reinforcement learning, revision and restructuring, rule induction,
robot learning, discovery of scientific laws, statistical approaches,
unsupervised learning, vision and learning.
PKDD Call for Papers
Data Mining and Knowledge Discovery in Databases (KDD) is a
combination of many research areas: databases, statistics, machine
learning, automated scientific discovery, artificial intelligence,
visualization, decision science, and high performance computing. While
each of these areas can contribute in specific ways, KDD focuses on
the value that is added by creative combination of the contributing
areas. The goal of PKDD is to provide a forum for interaction among
all theoreticians and practitioners interested in data mining and KDD.
Topics of interest (non-exhaustive list): anytime algorithms,
applications, collaborative data mining, database integration,
dimensionality reduction, discretization, distributed data mining,
incremental algorithms, inductive databases, interactive data mining,
knowledge discovery process, multimedia mining, OLAP and data
warehouse integration, parallel data mining, personalization and
adaptivity, preprocessing and postprocessing, prior knowledge
integration, relational data mining, scalable algorithms, scientific
discovery, text mining, temporal and spatial data mining,
visualization, web mining.
For more details, see the conferences website at
http://www.cs.kuleuven.ac.be/conference/ecmlpkdd/
------------------------------
From: <[EMAIL PROTECTED]>
Subject: CFP: AI & Creativity in Arts and Science 2003
Date: Fri, 29 Nov 2002 16:34:44 +0100
First Call for Extended Abstracts
AI AND CREATIVITY IN ARTS AND SCIENCE
A symposium as part of AISB'03, the 2003 Convention of the Society for
the Study of Artificial Intelligence and the Simulation of Behaviour,
7th - 11th April 2003, University of Wales, Aberystwyth, United
Kingdom
Extended abstract submissions are invited for the AISB'03 Symposium on
AI and Creativity in Arts and Science.
Recently, creativity and creative behaviour have become serious
targets for AI study. Worthwhile inroads into the computational study
of the creative mind have been made, and systems exhibiting creative
behaviour have been constructed. This was reflected in the successful
AISB symposia on creative and creativity-related topics at AISB'99
(Edinburgh), AISB'00 (Birmingham), AISB'01 (York) and AISB'02
(Imperial).
This symposium aims to bring together researchers interested in all
forms of creative reasoning. The aim is to allow work focussed on
different aspects of creative behaviour to be compared and
contrasted. To this end, the programme committee invites the
submission of extended abstracts covering creative behaviour in the
arts and the sciences, including, but not restricted to:
computational support for creative people
computational models of creative processes
the philosophy of computational creativity
AI systems which can be argued to exhibit creativity
the assessment of creativity in AI programs.
Accepted abstracts will exhibit a high standard of presentation, and
will report on original, previously unpublished work. Only papers
with genuine scientific content will be accepted; reports on artistic
work should be accompanied by a clear statement of the scientific
contribution of the abstract.
Authors of accepted abstracts will be asked to supply full papers for
inclusion in a pre-proceedings published by AISB. The Symposium is
expected to take place over the two of the three days of the
Convention.
SUBMISSIONS
All Submissions will be made by electronic means. Detailed
instructions and a submission form will be available on the workshop
web site. Fax, e-mail or snail mail submissions will not be accepted.
TIMETABLE
Extended abstract submission deadline: 6th January 2003
Notification re: extended abstracts: 27th January 2003
Submission of full papers: 7th March 2003
The AISB'03 Convention: 7th - 11th April 2003
CONVENTION WEBSITE
http://www.doc.ic.ac.uk/~sgc/events/aisb03/
------------------------------
From: Terry Windeatt <[EMAIL PROTECTED]>
Subject: MLnet-list: MCS 2003 call for papers
Date: Tue, 3 Dec 2002 12:51:05 +0000
*****MCS 2003 Call for Papers*****
*****Paper Submission: 10 January 2003*****
FOURTH INTERNATIONAL WORKSHOP ON MULTIPLE CLASSIFIER SYSTEMS
Guildford, Surrey, GU2 7XH , United Kingdom
June 11-13 2003
Updated information: http://www.diee.unica.it/mcs
E-mail: [EMAIL PROTECTED]
WORKSHOP OBJECTIVES
MCS 2003 is the fourth workshop of a series aimed to create a common
international forum for researchers of the diverse communities working
in the field of Multiple Classifier Systems. Information on the
previous editions of MCS workshop can be found on
www.diee.unica.it/mcs. Contributions from all the research
communities working in the field are welcome in order to compare the
different approaches and to define the common research priorities.
Special attention is also devoted to assess the applications of
Multiple Classifier Systems.
The workshop is an official event of the International Association for
Pattern Recognition (IAPR-TC1).
PAPER SUBMISSION
Two hard copies of the full paper should be mailed to:
MCS 2003
Dr. Terry Windeatt
Dept. of Electrical and Electronic Eng.
University of Surrey
Guildford, Surrey, GU2 7XH, United Kingdom.
In addition, participants should submit an electronic version of the
manuscript ( PDF or PostScript format) to [EMAIL PROTECTED]
The papers should not exceed 10 pages (LNCS format, see
http://www.springer.de/comp/lncs/authors.html). A cover sheet with the
authors names and affiliations is also requested, with the complete
address of the corresponding author, and an abstract (200 words). Two
members of the Scientific Committee will referee the papers.
IMPORTANT NOTICE: Submission implies the willingness of at least one
author to register, attend the workshop, and present the paper.
Accepted papers will be published in the proceedings only if the
registration form and payment for one of the authors has been received.
WORKSHOP TOPICS
Papers describing original work in the following and related research
topics are welcome:
Foundations of multiple classifier systems
Methods for classifier fusion
Design of multiple classifier systems
Neural network ensembles
Bagging and boosting
Mixtures of experts
New and related approaches
Applications
IMPORTANT DATES
January 10, 2003 : Paper Submission
February 20, 2003: Notification of Acceptance
April 1, 2003: Camera-ready Manuscript
April 10, 2003: Registration
------------------------------
From: [EMAIL PROTECTED]
Subject: MLnet-list: Call for Papers: ISMIS 2003
Date: Tue, 3 Dec 2002 09:57:37 -0800 (PST)
Call for Papers: ISMIS 2003
FOURTEENTH INTERNATIONAL SYMPOSIUM ON
METHODOLOGIES FOR INTELLIGENT SYSTEMS
Maebashi TERRSA, Maebashi City, Japan
October 28-31, 2003
http://www.wi-lab.com/ismis03/
ISMIS has established a prestigious tradition by organizing a leading
international conference on intelligent systems. The conference
provides a unique opportunity for exchanging scientific research and
technological achievements accomplished by the international
community. The previous events were held in Knoxville, Tennessee
(1986, 1990), Charlotte, North Carolina (1987, 1989, 1991, 1994, 1997,
2000), Turin (1988), Trondheim (1993), Zakopane (1996), Warsaw (1999),
Lyon (2002).
This Symposium is intended to attract individuals who are actively
engaged both in theoretical and practical aspects of intelligent
systems. The goal is to provide a platform for a useful exchange
between theoreticians and practitioners, and to foster the
cross-fertilization of ideas in the following areas:
Active Media Human-Computer Interaction
Autonomic and Evolutionary Computation
Intelligent Agent Technology
Intelligent Information Retrieval
Intelligent Information Systems
Knowledge Representation and Integration
Knowledge Discovery and Data Mining
Logic for Artificial Intelligence
Soft Computing
Web Intelligence
In addition, we solicit papers dealing with Applications of
Intelligent Systems in complex/novel domains, e.g. human genome,
global change, manufacturing, health care, etc.
Proceedings will be published by Springer-Verlag in LNCS/LNAI
(Lecture Notes in Artificial Intelligence, the series homepage:
http://www.springer.de/comp/lncs/index.html) and will be available at the
symposium. Any necessary information concerning typesetting can be obtained
directly from Springer-Verlag page at
http://www.springer.de/comp/lncs/authors.html.
Authors are invited to submit their manuscript in the LNCS/LNAI style
(maximum 10 pages). All paper submissions will be handled
electronically. Detailed instructions are provided on the conference
homepage at http://www.wi-lab.com/ismis03/
IMPORTANT DATES
Submission of Papers: March 10, 2003
Acceptance Notification: May 15, 2003
Final Paper: June 30, 2003
------------------------------
From: John Gennari <[EMAIL PROTECTED]>
Subject: CFP for the 2nd K-CAP: International Conference on Knowledge Capture
Date: Thu, 05 Dec 2002 14:34:03 -0800
C A L L F O R P A P E R S
Second International Conference on Knowledge Capture
K-CAP 2003
Oct 23-25th, 2003
Sundial Resort, Sanibel Island, Florida, USA
http://sern.ucalgary.ca/ksi/k-cap/k-cap2003/
or
http://www.k-cap.org/
Information in all forms is increasingly available, but using it
effectively requires a range of technologies for representing,
manipulating, and reasoning with information. These technologies
comprise knowledge capture, the extraction of useful knowledge from
vast and diverse sources of information and raw data. Driven by the
demands for knowledge-based applications, and the unprecedented
availability of information on the Internet, the study of knowledge
capture has a renewed importance.
Although there has been considerable work in the area of knowledge
capture, activities have been distributed across several distinct
research communities, principally knowledge engineering, machine
learning, and natural-language processing. However, other fields study
knowledge capture, too. For example, in planning and process
management, mixed-initiative systems acquire knowledge about a user's
goals by taking commands or accepting advice regarding a task. In
addition, recent research with the Semantic Web includes work that
tries to capture the knowledge associated with appropriately annotated
web pages. All of these approaches are related in that they acquire
information and organize it in knowledge structures that can be used
for reasoning. They are complementary in that they use different
techniques and approaches to capture different forms of knowledge.
K-CAP 2003 will provide a forum in which to bring together disparate
research communities whose members are interested in efficiently
capturing knowledge from a variety of sources and in creating
representations that can be useful for reasoning. We solicit
high-quality research papers for publication and presentation at our
conference. Our aim is to promote multidisciplinary research that could
lead to a new generation of tools and methodologies for knowledge capture.
TOPICS OF INTEREST include, but are not limited to:
** Knowledge acquisition tools
** Advice taking systems
** Authoring tools
** Learning apprentices
** Knowledge engineering and modeling methodologies
** Knowledge extraction systems
** Knowledge management environments
** Mixed-initiative decision-support tools
** Knowledge-based markup techniques
** Acquisition of problem-solving knowledge
TENTATIVE SUBMISSION DEADLINE: April 28th, 2003
------------------------------
From: Jude Shavlik <[EMAIL PROTECTED]>
Subject: Computational Biology Faculty Search at UW-Madison
Date: Sun, 24 Nov 2002 11:17:11 -0600
The University of Wisconsin - Madison has allocated seven faculty
slots to a new initiative whose goal is to increase our strength in
Systems Biology. Computational biology is a central part of this
initiative, and the Department of Biostatistics and Medical
Informatics is a candidate tenure home (Machine learning researchers
Mark Craven and David Page have their tenure home there, and I [Jude
Shavlik] have a secondary appointment there as well.) Computer
Sciences is also a potential tenure home. The job ad follows.
We also have NLM-funded post-doctoral positions (US citizenship or
permanent residency required) in computational biology. See
http://www.cibm.wisc.edu/
Faculty Positions in
Interdisciplinary Program in Systems Biology
A consortium of departments invites applications for tenure-track
positions spanning the physical and biological sciences as part of a
campus-wide initiative in Systems Biology. Successful candidates will
have a doctoral degree and relevant postdoctoral training and will be
recruited to an appropriate academic department as tenure home.
Selection will be based on excellence of qualifications and relevance
of research interests to Systems Biology, i.e., integration of
processes at the molecular, cellular and organismal levels. Focuses
include but are not limited to functional genomics, proteomics and
computational biology. Potential application to human disease and
technical innovation will also be important considerations. The
University provides excellent opportunities for collaborative and
interdisciplinary research and graduate training. Information about
this initiative and available positions are available at
http://www.ms-biotech.wisc.edu/sysbio/.
Interested individuals should submit a curriculum vitae and statement
of research interests and also have at least three letters of
reference sent to Dr. Richard L. Moss, Chair of Systems Biology
Search, UW Medical School, 1300 University Avenue, Madison, WI 53706,
or electronically to [EMAIL PROTECTED] The search committee
will begin consideration of applications January 15, 2003 but will
receive applications until positions are filled. Women and minorities
are especially encouraged to apply.
------------------------------
From: "Richard Hartley" <[EMAIL PROTECTED]>
Subject: [Imageworld] Post-doc and Senior researcher positions available
Date: Thu, 28 Nov 2002 20:40:17 +1100
POST-DOC POSITIONS AVAILABLE.
A new research institute, National Information and Communications
Technologies, Australia (NICTA) is being set up in Sydney and Canberra
to carry out fundamental and applied research in Information
Technology. In order to staff this new centre, we are at present
advertising to hire 30 or more postdoctoral fellows, across a range of
disciplines.
As part of this, we expect to have at least 3 post-doctoral positions
available in Computer Vision and Robotics. Successful candidates will
join the Automated Systems and Sensor Technologies (ASSeT) Program of
NICTA. Topics of particular interest include Autonomous Vehicles,
Active Vision, Video Analysis, Vision and Machine Learning, Robot
manipulators and Medical Imaging, though all aspects of Computer
Vision and Robotics are of interest. The ASST program will initially
be closely related with the Department of Systems Engineering at the
Australian National University in Canberra.
In order to attract high-quality applicants, salaries at the new
centre are expected to be competitive with international levels,
higher than similar academic positions in Australia.
People hired to these positions will be expected to engage in
research, post-graduate teaching (minor) or commercialization
activities. We welcome applicants who are interested in either basic
research or research commercialization activities.
MACHINE-LEARNING AND VISION POSITION.
The Computer Vision group and the Machine Learning group in the
Research School of Information Sciences at the Australian National
University are looking for a Post Doc to fill a 3-year appointment in
Machine-Learning and Computer Vision. The successful applicant will
work with Richard Hartley and Alex Smola in application of
Machine-Learning techniques to Computer Vision problems. The research
will involve close involvement with research groups at INRIA Grenoble
and Royal Holloway University of London.
More information is present on the NICTA web site at
http://nicta.com.au See also http://www.syseng.anu.edu.au/~hartley
Applications are accepted at any time (no due date).
------------------------------
From: Zoubin Ghahramani <[EMAIL PROTECTED]>
Subject: MLnet-list: Postdoc in Machine Learning, Gatsby Unit, London
Date: Mon, 2 Dec 2002 14:32:00 +0000
The following position is available. If you are interested and are
planning to attend the NIPS conference in Vancouver (Dec 9-14) please
email me and we can arrange to meet there.
Sincerely, -Zoubin Ghahramani
Postdoctoral Fellowship
Machine Learning
Gatsby Computational Neuroscience Unit
University College London, UK
http://www.gatsby.ucl.ac.uk
The Gatsby Unit is looking for an exceptional postdoc to work in any
area of machine learning. We are especially interested in people
working on Bayesian methods, graphical models, approximate inference,
Gaussian processes and other kernel methods, reinforcement learning,
decision theory, or game theory. Other areas which complement the
machine learning and computational neuroscience work at the Gatsby
Unit will also be welcome.
The Gatsby Unit offers an attractive environment for doing basic
research in machine learning. Postdocs are given freedom to develop
their research interests. The Unit is located in central London and
benefits from interactions with the larger machine learning community
at UCL, in London, and Cambridge.
Prospective candidates should apply with a cover letter, CV, and names
and email addresses of 2-3 referees. This should be sent by email to:
[EMAIL PROTECTED], preferably using plain text, postscript or pdf
formats only.
The closing date for applications is 15 Jan 2003.
------------------------------
From: Stephen Hanson <[EMAIL PROTECTED]>
Subject: FACULTY POSITION, Rutgers University - Cognitive Neuro/Science
Date: Wed, 4 Dec 2002 22:31:17 -0500 (EST)
Rutgers University _Newark Campus, Psychology Department, Cogntive
Science, Cognitive Neuroscience
The Department of Psychology anticipates making one tenure track,
Assistant or Associate Professor level appointment in area of
COGNITIVE SCIENCE. In particular we are seeking individuals from one
of any of the following THREE areas: LEARNING (Cognitive Modeling),
COMPUTATIONAL NEUROSCIENCE, or SOCIAL COGNITION (interests in
NEUROIMAGING in any of these areas would also be a plus, since the
Department in conjunction with UMDNJ has recently acquired a 3T
Neuroimaging Center (see http://www.newark.rutgers.edu/fmri/). The
successful candidate is expected to develop and maintain an active,
externally funded research program, and to teach at both the graduate
and undergraduate levels. Review of applications will begin JANUARY
30th 2003, pending final budgetary approval from the administration.
Rutgers University is an equal opportunity/ affirmative action
employer. Qualified women and minority candidates are encouraged to
apply. Please send a CV, a statement of current and future research
interests, and three letters of recommendation to COGNITIVE SCIENCE
SEARCH COMMITTEE, Department of Psychology, Rutgers University,
Newark, NJ 07102. Email enquires can be made to
[EMAIL PROTECTED]
------------------------------
From: Jerome Sanes <[EMAIL PROTECTED]>
Subject: Brown Brain Science Program Faculty Positions
Date: Thu, 05 Dec 2002 09:23:15 -0500
Please note the availability of six new positions in the Brain Science
Program at Brown University that represent a significant expansion of
Brain Science at Brown University.
One position is targeted toward MR Physics/Neuroscience, while the remaining
five, including one for a Distinguished Faculty position in Brain Science
have foci across Brain Science.
See: www.brainscience.brown.edu/positions
------------------------------
From: Johan Suykens <[EMAIL PROTECTED]>
Subject: LS-SVMs: book announcement
Date: Fri, 29 Nov 2002 16:21:06 +0100
We are glad to announce the publication of a new book: J.A.K. Suykens,
T. Van Gestel, J. De Brabanter, B. De Moor, J. Vandewalle, Least
Squares Support Vector Machines, World Scientific Pub. Co., Singapore,
2002 http://www.esat.kuleuven.ac.be/sista/lssvmlab/book.html
This book focuses on Least Squares Support Vector Machines (LS-SVMs)
which are reformulations to standard SVMs. LS-SVMs are closely related
to regularization networks and Gaussian processes but additionally
emphasize and exploit primal-dual interpretations from optimization
theory. The authors explain the natural links between LS-SVM
classifiers and kernel Fisher discriminant analysis. Bayesian
inference of LS-SVM models is discussed, together with methods for
imposing sparseness and employing robust statistics.
The framework is further extended towards unsupervised learning by
considering PCA analysis and its kernel version as a one-class
modelling problem. This leads to new primal-dual support vector
machine formulations for kernel PCA and kernel CCA
analysis. Furthermore, LS-SVM formulations are given for recurrent
networks and control. In general, support vector machines may pose
heavy computational challenges for large data sets. For this purpose,
a method of fixed size LS-SVM is proposed where the estimation is done
in the primal space in relation to a Nyström sampling with active
selection of support vectors. The methods are illustrated with several
examples.
Contents:
. Introduction
. Support vector machines
. Least squares support vector machines, links with Gaussian
processes, regularization networks, and kernel FDA
. Bayesian inference for LS-SVM models
. Weighted versions and robust statistics
. Large scale problems: Nystrom sampling, reduced set methods,
basis formation and Fixed size LS-SVM
. LS-SVM for unsupervised learning: support vector machines
formulations for kernel PCA. Related methods of kernel CCA.
. LS-SVM for recurrent networks and control
. Illustrations and applications
Readership:
Graduate students and researchers in neural networks; machine learning;
data-mining; signal processing; circuit, systems and control theory;
pattern recognition; and statistics.
Order information: World Scientific
http://www.wspc.com/books/compsci/5089.html
http://www.esat.kuleuven.ac.be/sista/lssvmlab/book.html
Freely available LS-SVMlab software
http://www.esat.kuleuven.ac.be/sista/lssvmlab/
under GNU General Public License
------------------------------
From: Johan Suykens <[EMAIL PROTECTED]>
Subject: LS-SVMlab announcement
Date: Fri, 29 Nov 2002 16:22:45 +0100
We are glad to announce
LS-SVMlab:
Least Squares - Support Vector Machines Matlab/C Toolbox
http://www.esat.kuleuven.ac.be/sista/lssvmlab/
Toolbox:
. Matlab LS-SVMlab1.4 - Linux and Windows Matlab/C code
. Basic and advanced versions
. Functional and object oriented interface
Tutorial User's Guide (100pp.):
. Examples and demos
. Matlab functions with help
Solving and handling:
. Classification, Regression
. Tuning, cross-validation, fast loo,
receiver operating characteristic (ROC) curves
. Small and unbalanced data sets
. High dimensional input data
. Bayesian framework with three levels of inference
. Probabilistic interpretations, error bars
. hyperparameter selection, automatic relevance determination (ARD)
input selection, model comparison
. Multi-class encoding/decoding
. Sparseness
. Robustness, robust weighting, robust cross-validation
. Time series prediction
. Fixed size LS-SVM, Nystrom method,
kernel principal component analayis (kPCA), ridge regression
. Unsupervised learning
. Large scale problems
GNU General Public License:
The LS-SVMlab software is made available for research purposes only
under the GNU General Public License. LS-SVMlab software may not be
used for commercial purposes without explicit written permission after
contacting [EMAIL PROTECTED]
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End of ML-LIST Digest Vol 14, No. 10
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