Machine Learning List
Mon, 20 Jan 2003 00:17:10 -0800
Machine Learning List: Vol. 15, No. 2
Monday, Jan 20, 2003
Contents
Calls for Papers and Other Meeting Announcements
CFP: ICML'03 (International Conference on Machine Learning)
CFP: Int Conf on Machine Learning and Applications, ICMLA'03
Call for papers: Discovery Science (DS'03)
CfP IJCAI '03 - 3rd Workshop on Creative Systems
IEEE/WIC Intelligent Agent Technology 2003: Call For Papers
Call for Papers: KI2003
ACL2003 CFP: Wrkshp on Multilingual Summarization & Quest Answering
CFP: Learning Graphical Models for Comp Genomics (IJCAI03 Wrkshp)
Wrkshp on Advances in Machine Learning, Montreal, June 2-6, 2003
Career Opportunities
Faculty position at NYU
PostDoc vacancy - Marie Curie fellowship
Misc Other Announcements
jmlr-announce: ICML Special Issue
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: Nina Mishra <[EMAIL PROTECTED]>
Subject: CFP: ICML'03 (International Conference on Machine Learning)
Date: Wed, 15 Jan 2003 18:58:58 -0800
Call for Papers
The Twentieth International Conference on Machine Learning
Washington, DC USA
August 21-24, 2003
The Twentieth International Conference on Machine Learning (ICML-2003)
will be held in Washington D.C. August 21-24, 2003. The conference
will bring together researchers to exchange ideas and report recent
progress in the field of machine learning.
TOPICS FOR SUBMISSION
ICML-2003 welcomes submissions on all topics related to machine learning.
We specifically encourage papers on the following topics:
- Applications of machine learning, particularly those that require
non-standard techniques or shed light on limitations of existing
techniques.
- The role of learning in design and configuration, logical and
spatial reasoning, motor control, and more generally on learning for
performance tasks carried out by intelligent agents.
- The discovery of scientific laws and taxonomies, the construction of
componential and structural models, and learning at multiple levels
of temporal and spatial resolution.
- Computational models of human learning, exploratory research that
describes novel learning tasks, work that integrates familiar
methods to demonstrate new functionality, and agent architectures in
which learning plays a central role.
- The effect of the developers' decisions about problem formulation,
representation, data quality, and reward function on the learning
process.
- Empirical studies that combine natural data (to show relevance) with
synthetic data (to understand conditions on behavior), along with
formal analyses that make contact with empirical results, especially
where the aim is to identify sources of power, rather than to show
one method is superior to others.
We also welcome submissions from all traditional topics of machine
learning. Submissions that demonstrate both theoretical and empirical
rigor are especially encouraged.
The conference will be co-located with KDD-2003 and COLT-2003.
Details of the co-location will be announced shortly.
IMPORTANT DATES
Abstracts due: February 10, 2003
Submissions due: February 14, 2003
Acceptance decisions mailed to authors: April 25, 2003
Camera-ready copies of all accepted papers due: May 16, 2003
Authors of conditionally accepted
papers notified: May 23, 2003
ADDITIONAL INFORMATION
For additional information, please see the conference web site:
http://www.hpl.hp.com/conferences/icml2003
which will provide additional details as they become available.
------------------------------
From: "Krzysztof (Krys) Cios" <[EMAIL PROTECTED]>
Subject: CFP: Int Conf on Machine Learning and Applications, ICMLA'03
Date: Sat, 04 Jan 2003 16:18:12 -0800
Could you please announce this link to the International Conference on
Machine Learning and Applications, ICMLA'03, that I am organizing?
http://www.cs.csubak.edu/~icmla/icmla03/icmla03.html
Krzysztof (Krys) Cios
Professor and Chair
Computer Science and Engineering Department at CU Denver
------------------------------
From: Gunter Grieser <[EMAIL PROTECTED]>
Subject: Call for papers: Discovery Science (DS'03)
Date: Mon, 6 Jan 2003 18:24:23 +0100
Call for Papers: Discovery Science 2003
The 6th International Conference on Discovery Science (DS03)
Hokkaido University, Sapporo, Japan
October 17-19, 2003
www.intellektik.informatik.tu-darmstadt.de/DS03/
GENERAL INFORMATION:
The 6th International Conference on Discovery Science (DS 2003) will
be held at the Hokkaido University, Sapporo, Japan, during October
17-19, 2003. DS 2003 will be co- located with the 14th International
Conference on Algorithmic Learning Theory. The two conferences will be
held in parallel, and they will share their invited talks.
We are now encountered to a rapidly growing digital network
society. Information available for each person is tremendously large
and therefore is far beyond our capability for analyzing and
understanding. A new generation of computational techniques and tools
is required to support the extraction and the discovery of useful
knowledge from the rapidly growing volumes of data. Raw data is rarely
of direct benefit. Its true value is reflected by our ability to
extract information useful for decision support or for exploration and
understanding of the phenomena exhibited in the data source.
The main objective of DS 2003 is to provide an open forum for
intensive discussions and interchange of new information among
researchers working in the area of Discovery Science.
IMPORTANT DATES:
Submission Deadline: April 12, 2003
Notification of Acceptance June 1, 2003
Camera-ready Due July 1, 2003
Conference October 17-19, 2003
TOPICS OF INTEREST:
We invite submissions from (but not limited to) the following areas:
logic for/of knowledge discovery; knowledge discovery by inferences;
abductive reasoning; heuristic search; constructive programming as
discovery; knowledge discovery from texts and the Web; knowledge
discovery from unstructured and multimedia data; knowledge discovery
in databases; data mining; data and knowledge visualization; active
mining; knowledge discovery in network environments; intelligent
network agents; machine learning; statistical methods and neural
networks for knowledge discovery; Bayesian networks; knowledge
discovery and human interaction; human factors in knowledge discovery;
philosophy and psychology of discovery; chance discovery; scientific
discovery; application of knowledge discovery to natural and social
sciences.
CONFERENCE HOMEPAGE:
www.intellektik.informatik.tu-darmstadt.de/DS03/
------------------------------
From: <[EMAIL PROTECTED]>
Sender: "Carlos Lisboa Bento" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Subject: CfP IJCAI '03 - 3rd Workshop on Creative Systems
Date: Tue, 7 Jan 2003 17:43:35 -0000
CALL FOR PAPERS
3rd. WORKSHOP ON CREATIVE SYSTEMS
Approaches to Creativity
in Artificial Intelligence and Cognitive Science
18th International Joint Conference on Artificial Intelligence
(IJCAI 2003)
Acapulco, Mexico, 10-11 August 2003
Submission deadline: March 21, 2003
website: http://creative-systems.dei.uc.pt/CSW-IJCAI03/
The Program Committee of the 3rd Workshop on Creative Systems -
Approaches to Creativity in Artificial Intelligence and
Cognitive Science - invites submissions of technical and
position papers for the workshop. The workshop will be held
at Acapulco, Mexico, on 10-11 August 2003, as part of the
18th International Joint Conference on Artificial Intelligence
(IJCAI 2003). The publication of the Proceedings of the Workshop
is being negotiated with a publisher.
WORKSHOP OBJECTIVES
This workshop will bring together researchers from AI and
Cognitive Science working on Creative Systems, providing the
opportunity to promote presentation and discussion of ongoing
work in the area.
The workshop should encourage cross-fertilization between the
various approaches, including the study of cognitive and
computational models for Creativity, and the application
of current AI techniques to the development of Creative Systems.
The workshop will provide a forum for identifying trends and
opportunities for research on creativity and promising
practices concerning the development of creative systems.
TOPICS
Original contributions are solicited in all areas related to
Creative Systems, including but not limited to:
- Computational models of creativity
- Cognitive Science models of creativity
- Machine Creativity
- Evaluation of Creativity
- Metaphor
- Computational tools for supporting Creativity
- Applications of Creative Systems
IMPORTANT DATES
March 21, 2003 Submission deadline
April 11, 2003 Notice of Acceptance
May 23, 2003 Deadline for final camera-ready copies
WORKSHOP WEB SITE
http://creative-systems.dei.uc.pt/CSW-IJCAI03/
------------------------------
From: "jxl" <[EMAIL PROTECTED]>
Subject: IEEE/WIC Intelligent Agent Technology 2003: Call For Papers
Date: Tue, 7 Jan 2003 20:59:46 -0800
IEEE/WIC Intelligent Agent Technology 2003
C A L L F O R P A P E R S
2003 IEEE/WIC International Conference on
Intelligent Agent Technology (IAT 2003)
Sponsored by IEEE Computer Society and
Web Intelligence Consortium (WIC)
October 13-17, 2003
Tianlun Dynasty Hotel, BEIJING, CHINA
Homepage: http://www.comp.hkbu.edu.hk/IAT03
The 2003 IEEE/WIC International Conference on Intelligent Agent Technology
(IAT 2003) will be jointly held with the 2003 IEEE/WIC International
Conference on Web Intelligence (WI 2003 http://www.comp.hkbu.edu.hk/WI03/).
The IEEE/WIC 2003 joint conferences are sponsored and organized by IEEE
Computer Society Technical Committee on Computational Intelligence (TCCI)
(http://www.cs.uvm.edu/%7Exwu/tfvi/index.shtml) and by Web Intelligence
Consortium (WIC) (http://wi-consortium.org). The upcoming meeting in this
conference series follows the great success of IAT-99 held in Hong Kong in
1999 and IAT-01 held in Maebashi City, Japan in 2001.
TOPICS
The topics and areas to be addressed include, but not limited to:
Learning and Self-Adapting Agents
Adaptation and self-adaptation
Artificial life
Behavioral selection
Behavioral self-organization
Believable lifelike quality
Classifier systems
Coordinating perception, thought, and action
Evolution and learning in dynamic environments
Evolutionary computation
Integrated exploration and exploitation
Uncertainty management in multi-agent systems
Data and Knowledge Management Agents
Adaptation and evolution of knowledge networks
Data mining
Distributed knowledge systems
Heterogeneous data integration and management
Human-agent interaction
Information filtering
Knowledge aggregation
Knowledge discovery
Knowledge sharing
Reasoning and planning
IMPORTANT DATES
Electronic submission of full papers: March 20, 2003
(Research track and industry track)
Notification of paper acceptance: May 2003
(Research track and industry track)
Workshop and tutorial proposal submission: June 1, 2003
Camera-ready of accepted papers: June 2003
Notification of workshops and tutorials: July 2003
Conference & workshops: October 13-17, 2003
------------------------------
From: Rudolf Kruse <[EMAIL PROTECTED]>
Subject: Call for Papers: KI2003
Date: Fri, 10 Jan 2003 15:04:12 +0100 (MET)
* CALL FOR PAPERS *
26th German Conference on Artificial Intelligence (KI-2003)
http://www.ki2003.de
September 15-18, 2003
University of Hamburg, Germany
The conference invites original research papers in all areas of AI.
Besides papers on the foundations of AI we also welcome reports on
innovative applications.
TOPICS
Possible Areas of interest include, but are not limited to:
Agent Technology, Automated Reasoning, Case-Based Reasoning, Cognitive
Modeling, Configuration and Diagnosis, Decision Support Systems, Image
Understanding, Knowledge Discovery, Knowledge Management, Machine
Learning, Multi Media, Natural Language Processing, Ontologies, Neural
Networks, Planning and Scheduling, Reasoning under Uncertainty, Robotics,
Semantic Web, Soft Computing, Temporal and Spatial Reasoning, Vision
A special focus of the conference is on Multi Modality. Papers in this
area are particularly welcome.
IMPORTANT DATES
Submission of electronic abstracts and papers: April 7, 2003
Notification for conference papers: June 2, 2003
Camera-Ready copies for conference papers: June 30, 2003
------------------------------
From: Priscilla Rasmussen <[EMAIL PROTECTED]>
Subject: ACL2003 CFP: Wrkshp on Multilingual Summarization & Quest Answering
Date: Fri, 10 Jan 2003 14:01:40 EST
CALL FOR WORKSHOP PAPERS
ACL 2003 Post-conference Workshop
Sapporo Convention Center, Sapporo, Japan
July 11-12, 2003
Workshop on "Multilingual Summarization and Question Answering -
Machine Learning and Beyond"
Automatic summarization and question answering aim at producing a
concise, condensed representation of the key information content in an
information source for a particular user and task. Interest in
automatic summarization and question answering continues to grow,
motivated by the explosion of on-line information sources and advances
in natural language processing and information retrieval. In fact,
various forms of automatic summarization and question answering will
undoubtedly be indispensable given the massive information universes
that lie ahead in the 21st century.
Summarization and question answering involves the extraction or
generation of text snippets to fulfill some user needs. Rule-based or
statistical-based summarization and QA systems have shown promising
results in the TREC QA-tracks, NTCIR QAC, and NIST DUC; it is,
however, very difficult to find good evaluation functions or rules
that work well across domains or in all questions because there are
many system parameters that must be carefully tuned in order to
achieve good system performance. In consequence, various machine
learning (ML) techniques have recently been applied to summarization
and QA systems.
The purpose of this workshop is to provide a forum for exploring the
commonality underling this diversity of problem domain and approaches.
The workshop has the following goals:
- to bring together communities of researchers who apply machine
learning techniques to summarization and QA systems,
- to deepen the summarization and QA community's understanding of
the state of the art in machine learning,
- to identify summarization and QA-related problems for
which ML techniques might be appropriate, and
- to advance the state of the art of summarization and QA
technologies.
Topics appropriate to this workshop include:
- summarization or QA systems with ML techniques,
- novel or improved ML techniques for summarization or QA,
- effective feature extraction methods for characterizing
summarization or QA,
- metrics and benchmarks for evaluating the effect of machine
learning techniques in summarization or QA systems,
- generation for summarization or QA,
- cross-language or multilingual QA,
- integration with Web and IR access,
- corpora creation for summarization or QA,
- interfaces and tools for summarization or QA.
DEADLINES (Tentative)
Paper submission deadline: Apr 21, 2003
Notification of acceptance for papers: May 19, 2003
Camera ready papers due: May 26, 2003
Workshop date: July 11-12, 2003
------------------------------
From: "Roby Joehanes" <[EMAIL PROTECTED]>
Subject: CFP: Learning Graphical Models for Comp Genomics (IJCAI03 Wrkshp)
Date: Sat, 11 Jan 2003 18:08:16 -0600
Second CFP:
IJCAI-2003 Workshop -- Learning Graphical Models for
Computational Genomics
Saturday, 9 August 2003
Acapulco, Mexico
http://www.kddresearch.org/KDD/Workshops/IJCAI-2003-Bioinformatics/
Recent advances in experimental tools for computational genomics have
led to sharp growth in data resources for bioinformatics problems such
as modeling of gene expression and gene-protein interaction. This
provides an interesting application domain for intelligent systems
that learn graphical models from data for causal modeling, time series
simulation and prediction, and classification and regression problems
in computational life sciences.
In response, we propose a workshop to bring together researchers in
intelligent systems who are interested in:
* probabilistic reasoning and learning with the primary focus of:
- learning the structure of graphical models from data,
- new graphical models such as types of dynamic Bayesian networks,
stochastic and other approximation algorithms for inference,
- structure learning;
* constraint-based knowledge representation;
* parameter estimation on graphical models and dynamical systems.
TOPICS
Active research topics that are relevant to learning graphical
models for computational genomics include:
* functional genomics, which includes:
- modeling of gene regulatory dynamics,
- data mining from DNA hybridization microarrays,
- other gene modeling tools such as northern blots;
* building simulation models for metabolomics on:
- biochemical pathways,
- environmental stress-response,
- cellular process regulation;
* proteomics, such as:
- secondary and tertiary fold prediction
- gene-protein interaction;
* other contemporary bioinformatics problems, such as:
- intelligent systems for pharmacology,
- plant science and crop simulation,
- decision support systems for human and veterinary medicine,
- phylogenetic modeling.
IMPORTANT DATES
Mar 01, 2003 Submission deadline
Mar 21, 2003 Acceptance notification
May 16, 2003 Camera-ready version of papers
ADDITIONAL INFORMATION
Please consult the following web page:
http://www.kddresearch.org/KDD/Workshops/IJCAI-2003-Bioinformatics/
for more information.
------------------------------
From: Balazs Kegl <[EMAIL PROTECTED]>
Subject: Wrkshp on Advances in Machine Learning, Montreal, June 2-6, 2003
Date: Mon, 13 Jan 2003 14:23:45 -0500
Call for papers
Workshop on Advances in Machine Learning
Montreal, Canada, June 2-6, 2003
URL: www.iro.umontreal.ca/~lisa/workshop2003.html
ORGANIZERS:
Yoshua Bengio, Balazs Kegl (University of Montreal)
Doina Precup (McGill University)
SCOPE:
Probabilities are at the core of recent advances in the theory and
practice of machine learning algorithms. The workshop will focus on
three broad areas where these advances are crucial: statistical
learning theory, learning algorithms, and reinforcement learning. The
workshop will therefore bring together experts from each of these
three important domains. Among the sub-topics that will be covered, we
note: variational methods, graphical models, the curse of
dimensionality, empirical methods to take advantage of theories of
generalization error, and some of the applications of these new
methods.
On the theoretical side, in recent years a lot of effort has been
devoted to explain the generalization abilities of popular learning
algorithms such as voting classifiers and kernel methods. Some of
these results have given rise to general principles that can guide
practical classifier design. Some (non-exclusive) sub-topics in this
aspect of the workshop include Rademacher and Gaussian complexities,
algorithmic stability and generalization, localized complexities and
results on the generalization ability of voting classifiers and
kernel-based methods.
On the algorithmic side, one of the emphasis of recent years has been
on probabilistic models that attempt to capture the complex structure
in the data, often by discovering the main lower-dimensional features
that explain the data. This raises interesting and difficult questions
on how to train such models, but such algorithms may have wide ranging
applications in domains in which the data has interesting structure
that may be explained at multiple levels, such as in vision and
language.
In reinforcement learning (RL), recent research has brought
significant advances in some of the traditional problems, such as
understanding the interplay between RL algorithms and function
approximation, and extending RL beyond MDPs. At the same time, new
areas of research, such as computational game theory, have developed
at the interface between RL and probabilistic learning methods. In
this workshop, we invite presentations on all RL topics, ranging from
theoretical development to practical applications.
IMPORTANT DATES:
March 31, Paper submission deadline
April 15, Notification of paper acceptance/rejection.
------------------------------
From: Foster Provost <[EMAIL PROTECTED]>
Subject: Faculty position at NYU
Date: Tue, 07 Jan 2003 15:33:33 -0500
Asst/Assoc/Full Professor, Visitor or Tenure-Track in New York City
The Information Systems Group within the Department of Information,
Operations, & Management Sciences at NYU's Stern School of Business is
interested in complementing its existing strengths, including its
strong presence in the data mining and database communities, and its
strong behavioral and economics faculty.
Tenure-track: New York University's Stern School of Business invites
applications for tenure-track faculty positions at all levels for the
2003-2004 academic year. A candidate should have a Ph.D. in Computer
Science or be assured of its completion within one year, and is
expected to be a productive researcher and effective teacher at
undergraduate, MBA and PhD levels in the application of information
technology to the solution of business problems, including how
technology creates new capabilities or improved performance for
businesses. An applicant should have strong research potential or
established research record (depending on level), including
publications in top-level journals and conference proceedings.
Visiting faculty: Applications are solicited for full-time visiting
positions at all levels. Visiting faculty teach at the undergraduate
and/or MBA levels and are active in research in the
department. Candidates must present evidence of strong teaching
ability and research performance.
http://www.stern.nyu.edu/is/
------------------------------
From: "Filippo Neri" <[EMAIL PROTECTED]>
Subject: PostDoc vacancy - Marie Curie fellowship
Date: Fri, 17 Jan 2003 16:47:09 +0100
MARIE CURIE FELLOWSHIP ANNOUNCEMENT
Contract Number HPMI-CT-1999-00036
Core Project Title Data and knowledge management
Job Description Natural Language Processing/Computational Linguistics
in the UK
Totally committed to scientific exploration and discovery, Unilever
invests £550 million in pioneering new research so our products remain
the preferred choice, 150 million times a day.
An ideal opportunity for a recent PhD graduate to develop their career
whilst keeping their options open on whether to work in industry or
academia, we're looking for a postdoctoral fellow to join our 2-year
Marie Curie Scheme.
Delivering innovation and technology within a challenging environment,
you'll be fully integrated within the various research groups and
benefit from our comprehensive training and development opportunities
offered to all scientists. One of these training programmes is a
2-year scientist development programme which is designed to develop
business competencies.
Our iConnect Group is seeking two imaginative researchers to work in
one of the following areas of Language Engineering: text analysis,
message understanding, text categorisation, topic detection /
tracking, statistics for NLP, language generation, dialogue models and
dialogue management, question answering, knowledge representation or
other relevant areas of interest.
A key member of the group, you will participate in the research and
consultation with our business users, and in the design, the
development and the implementation of Language Engineering
solutions. You will also gain valuable network opportunities with our
external academic links.
In addition to the acquisition of valuable and sought-after
transferable skills in the design and development of specialist
language engineering systems, you'll receive a subsistence and
mobility allowance. For further details visit:
http://www.cordis.lu/improving/
http://www.cordis.lu/improving/fellowships/home.htm. Please note that
usual European Union Marie Curie eligibility criteria apply.
To apply, please send a full CV, together with the contact details of two
referees to Shail Patel, Unilever Research, Quarry Road East, Bebington,
Wirral
CH63 3JW. E-mail: [EMAIL PROTECTED]
Fellowship Level Postgraduate
Number of Fellowships 2
Deadline 31/01/2003
Start Date 01/04/2003
Duration 24 months
Salary 26k pounds per annum
Supervisor MR Shail PATEL
[EMAIL PROTECTED]
http://www.unilever.com http://research.unilever.worldonline.nl
------------------------------
From: "David 'Pablo' Cohn" <[EMAIL PROTECTED]>
Subject: jmlr-announce: ICML Special Issue
Date: 13 Jan 2003 10:06:53 -0800
The Journal of Machine Learning Research is very pleased to announce
publication of a Special Issue of invited papers from the Eighteenth
International Conference on Machine Learning (ICML2001). This issue,
edited by Carla Brodley and Andrea Danyluk, contains twelve papers
expanded from their ICML form into fully refereed JMLR
contributions. We believe they capture both the breadth and spirit of
the machine learning conference and community.
The new issue is available online at http://www.jmlr.org.
David Cohn
Managing Editor, JMLR
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End of ML-LIST Digest Vol 15, No. 2
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