Machine Learning List: Vol. 15, No. 22
Saturday, December 13, 2003
Contents
Meeting Announcements
ECIR'04 Call for Participation for Posters
CFP: CIMCA Call for Tutorials
CFP: IEEE Data Mining 2004
CFP: IEEE/WIC/ACM Web Intelligence 2004
CFP: CIA 2004 - Intelligent Information Agents for the Internet
[Imageworld] GMBV 2004: call for papers
KDD-2004 First Call for Papers
GECCO Workshop on Modularity, Regularity, and Hierarchy
[TAINN 2004] TAINN2004: First Call for Papers (Text Version)
ATEM-04 Call for Papers
Career Opportunities
Expanded Machine Learning Group and RA positions at Southampton
Postdoc - University College Dublin (Ireland): Machine learning,
Miscellaneous Announcements
Robust Covariance Estimation (NNVE) Software Available
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]
To keep mailings to a manageable size, please keep submissions brief.
For meeting announcements, do highlight the meeting Web site and the
goals of the event but omit information such as the program committee
and talk schedules. Also, only first calls for papers/participation
and brief change of deadline announcements will be included. The ML
List moderator reserves the right to omit/edit submissions to meet
these criteria.
----------------------------------------------------------------------
From: Zia Syed <[EMAIL PROTECTED]>
Subject: ECIR'04 Call for Participation for Posters
Date: Thu, 04 Dec 2003 14:26:31 +0000
ECIR'04 EUROPEAN CONFERENCE ON INFORMATION RETRIEVAL
5th - 7th April, 2004, UNIVERSITY OF SUNDERLAND, UK
http://ecir04.sunderland.ac.uk
CALL FOR POSTERS
The British Computer Society's Information Retrieval Specialist
Group's annual European Conference on Information Retrieval (ECIR'04)
is the main European forum for the presentation of new research
results in the field of Information Retrieval.
Topics of interest include but are not limited to the following areas:
Text representation and indexing
Cross-lingual and multilingual IR
Metasearching and data fusion
Data mining and information extraction
Topic detection and tracking
Text summarisation
Question answering
Web-based IR
Information Retrieval for digital libraries
Mobile IR
Formal methods and language models for IR
Natural Language Processing for IR
Structured document retrieval, including XML
Image and video retrieval
Text classification (categorization or clustering)
Content-based adaptive filtering and routing
Usability, interactivity and visualization
Search strategies
User modelling and user studies
Evaluation issues and test collections
Distributed IR
Compression and scalability in IR
Architectures for IR
Audio and speech retrieval
Optical character recognition and IR
Machine learning for IR
POSTERS
Poster submissions addressing any of the areas identified in the
conference topics are invited. Authors are encouraged to demonstrate
work in progress and late-breaking research results. The submission
must include a two-page summary of the work, prepared in accordance
with the template available on the conference website. All accepted
posters will be published in volume two of the proceedings, which will
be distributed at the conference.
An A4 diagrammatic plan of the poster display is also required. Please
note that because of the late deadline for submissions for this track,
all posters must be submitted in camera-ready copy format. There will
be no opportunity for authors to modify poster abstracts following the
review process. Posters must be submitted as Word documents.
For further information about poster submission please contact
Dr. Michael Oakes, ECIR 2004 Posters Chair, email:
[EMAIL PROTECTED]
IMPORTANT DATES
Full Papers CLOSED
Deadline for Posters Thursday 15 January 2004
Notification for Posters Friday 06 February 2004
CONFERENCE VENUE
The conference will be held at the School of Computing and Technology
at the University of Sunderland, UK. Located on the North East Coast
of England, Sunderland is one of the UK's newest cities. Standing on
one of the oldest educational sites in the country, the university
campus successfully blends the old with the new. To the North of the
campus lies St Peter's church where the Venerable Bede was trained,
marking a tradition of learning that stretches back over a thousand
years.
TRAVEL
Sunderland is located on the North East coast of England, close to the
A19 and A1. The nearest airport is Newcastle International Airport
providing connections to most major UK and European cities, including
London Heathrow, Gatwick, Stansted, Amsterdam Schiphol and Brussels.
Direct Metro link to Newcastle Airport. Direct Metro and rail links
to Newcastle Central Station, with trains to all major UK cities
FURTHER INFORMATION
For more details about the conference please contact the conference
General Chairs:
Dr. Sharon McDonald and Professor John Tait
School of Computing and Technology
University of Sunderland
Sunderland
SR6 0DD
United Kingdom
Email: [EMAIL PROTECTED]
http://ecir04.sunderland.ac.uk
------------------------------
From: cimca <[EMAIL PROTECTED]>
Subject: CFP: Tutorial
Date: Fri, 05 Dec 2003 18:21:00 +1100
CALL FOR TUTORIALS
at
International conference on Computational Intelligence
for Modelling, Control and Automation - CIMCA'04
Gold Coast - Australia
The orgainsing committe of the CIMCA'04 invitats researchers and
practitioners to submit proposals for tutorialss in connection with
CIMCA'04 to be held Gold Coast - Australia from 12 to 14 July 2004.
Researchers and practitioners are invited to submit their
tutorial-proposals to the conference tutorial chair at:
[EMAIL PROTECTED]
Tutorial proposals are limited to up to 4 pages for the outline as
well as the Biography of the presenter/s. The proposal should
contain:
An abstract (briefly describing the aims and technical contents of the
tutorial) An introduction An outline of the topic Intended audience
(interested audience and required background knowledge) Biography of
presenter/s Contact information of presenter/s
Each tutorial proposal will be assessed based on significance,
originality as well as scientific and technical interest.
Important dates
Tutorial Proposals due date 16 January 2004
Proposal Notifications 30 January 2004
------------------------------
From: [EMAIL PROTECTED]
Subject: CFP: IEEE Data Mining 2004
Date: 5 Dec 2003 18:02:46 +0900
Call for Papers
ICDM '04: The Fourth IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society
Brighton, UK
November 1-4, 2004
http://icdm04.cs.uni-dortmund.de
(Papers Due: June 1, 2004)
The 2004 IEEE International Conference on Data Mining (IEEE ICDM '04)
provides a leading international forum for the dissemination of
original research results in data mining, spanning applications,
algorithms, software and systems. The conference draws researchers and
application developers from a wide range of data mining related areas
such as statistics, machine learning, pattern recognition, databases
and data warehousing, data visualization, knowledge-based systems and
high performance computing. By promoting high quality and novel
research findings, and innovative solutions to challenging data mining
problems, the conference seeks to continuously advance the state of
the art in data mining. As an important part of the conference, the
workshops program will focus on new research challenges and
initiatives, and the tutorials program will cover emerging data mining
technologies and the latest developments in data mining.
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 of data mining
* Data mining and machine learning algorithms and methods in
traditional areas (such as classification, regression, clustering,
probabilistic modeling, and association analysis), and in new areas
* Mining text and semi-structured data, and mining temporal, spatial
and multimedia data
* Mining data streams
* Pattern recognition and trend analysis
* Collaborative filtering/personalization
* Data and knowledge representation for data mining
* Query languages and user interfaces for mining
* Complexity, efficiency, and scalability issues in data mining
* Data pre-processing, data reduction, feature selection and feature
transformation
* Post-processing of data mining results
* 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
* Human-machine interaction and visual data mining
* High performance and parallel/distributed data mining
* Quality assessment and interestingness metrics of data mining
results
* Security, privacy and social impact of data mining
* Data mining applications in bioinformatics, electronic commerce,
Web, intrusion detection, finance, marketing, healthcare,
telecommunications and other fields
CONFERENCE PUBLICATIONS and ICDM BEST PAPER AWARDS
High quality papers in all data mining areas are solicited. Original
papers exploring new directions will receive especially careful and
supportive reviews. Papers that have already been accepted or are
currently under review at other conferences or journals will not be
considered for publication at ICDM '04.
Paper submissions should be limited to a maximum of 18 A4 pages, and
will be reviewed by the Program Committee on the basis of technical
quality, relevance to data mining, originality, significance, and
clarity. All paper submissions will be handled electronically. Please
use the Submission Form on the ICDM '04 website to submit your
paper. Formatting instructions are given on the website. Accepted
papers will be published in the conference proceedings by the IEEE
Computer Society Press.
A selected number of IEEE ICDM '04 accepted papers will be invited for
possible inclusion, in an expanded and revised form, in the Knowledge
and Information Systems journal (http://www.cs.uvm.edu/~kais/)
published by Springer-Verlag.
IEEE ICDM Best Paper Awards will be conferred at the conference on the
authors of (1) the best research paper and (2) the best application
paper. Application-oriented submissions will be considered for the
best application paper award.
IMPORTANT DATES
June 1, 2004 Paper submissions
Tutorial proposals
Workshop proposals
Panel proposals
August 5, 2004 Paper acceptance notices
September 1, 2004 Final camera-readies
November 1, 2004 Tutorials and Workshops
November 2-4, 2004 Conference
All paper submissions will be handled electronically. Detailed
instructions are provided on the conference home page at
http://icdm04.cs.uni-dortmund.de
For further information, see the conference site or contact:
Rajeev Rastogi
Rm 2B-301,
700 Mountain Avenue,
Murray Hill, NJ 07974,
USA
Phone: +1-908-582-3728
Fax: +1-908-582-1239
E-mail: [EMAIL PROTECTED]
------------------------------
From: [EMAIL PROTECTED] <[EMAIL PROTECTED]>
Subject: CFP: IEEE/WIC/ACM Web Intelligence 2004
Date: Fri, 5 Dec 2003 22:33:24 +0900
IEEE/WIC/ACM WEB INTELLIGENCE 2004
C A L L F O R P A P E R S
2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)
September 20-24, 2004
King Wing Hot Spring Hotel, Beijing, China
Homepage: http://www.maebashi-it.org/WI04
Sponsored By
IEEE Computer Society
Web Intelligence Consortium (WIC)
Association for Computing Machinery (ACM)
Co-Organized and In Cooperation With
Beijing University of Technology
China Computer Federation (CCF)
Hong Kong Baptist University (HKBU)
Maebashi Institute of Technology
Tsinghua University
Corporate Sponsors
Beijing University of Technology
National Natural Science Foundation of China (NSFC)
- Paper submission due: April 4, 2004
- Submission websites: http://www.maebashi-it.org/WI04
http://www.comp.hkbu.edu.hk/WI04
- Electronic submissions are required in the form of PDF or PS files
Web Intelligence (WI) has been recognized as a new direction for
scientific research and development to explore the fundamental roles
as well as practical impacts of Artificial Intelligence (AI) (e.g.,
knowledge representation, planning, knowledge discovery and data
mining, intelligent agents, and social network intelligence) and
advanced Information Technology (IT) (e.g., wireless networks,
ubiquitous devices, social networks, and data/knowledge grids) on the
next generation of Web-empowered products, systems, services, and
activities. It is one of the most important as well as promising IT
research fields in the era of Web and agent intelligence.
The 2004 IEEE/WIC/ACM International Conference on Web Intelligence
(WI'04) will be jointly held with the 2004 IEEE/WIC/ACM International
Conference on Intelligent Agent Technology (IAT'04
http://www.maebashi-it.org/IAT04). The IEEE/WIC/ACM 2004 joint
conferences are sponsored and organized by IEEE Computer Society
Technical Committee on Computational Intelligence (TCCI)
(http://www.cs.uvm.edu/~xwu/tcci/index.shtml), Web Intelligence
Consortium (WIC) (http://wi-consortium.org), and ACM-SIGART
(http://www.acm.org/sigart/).
TOPICS
The topics and areas include, but not limited to:
WI Topics
* World Wide Wisdom Web (W4)
Distributed Resources Optimization
Goal-Directed Services Support
Information and Knowledge Markets
Knowledge Community Formation and Support
Meta-Knowledge Discovery and Representation
New Social Interaction Paradigms
Problem Solver Markup Language (PSML)
Regularities and Laws of W4
Search of Best Means and Ends
Service Self-Aggregation
Social and Psychological Contexts
Web Inference Engine
* Social Networks and Social Intelligence
Entertainment
Knowledge Community Formation and Support
Link Topology and Site Hierarchy
Intelligent Wireless Web
Social Networks Mining
Theories of Small-World Web
Ubiquitous Computing
Ubiquitous Learning Systems
Virtual and Web Communities
Web-Based Cooperative Work
Web Site Clustering
* Knowledge Grids and Grid Intelligence
Brokering and Scheduling
Knowledge Resources and Services Discovery
Middleware Architectures and Tools
On-Demand Planning and Routing
Semantic Grids
* Web Mining and Farming
Context Sensitive Web Mining
E-Mail Classification
Data Warehousing
Learning User Profiles
Multimedia Data Mining
Mining Data Streams
Text Mining
Web Farming and Warehousing
Web Content Mining
Web Information Clustering
Web Information Indexing
Web Log and Usage Mining
Web Page Clustering and Mining
Web Site Classification
* Semantics and Ontology Engineering
Ontology-Based Information Extraction and Retrieval
Ontology-Based Web Mining
Web-Based Ontology Learning
Semantic Web
* Web Agents
Agent Networks and Topologies
Coordination
Distributed Problem Solving
Global Information Foraging
Macroscopic Behavior Modeling
Mobile Agents
Remembrance Agents
Resource Intermediary and Coordination Mechanisms
Self-Organization and Reproduction
Trust Models for Web Agents
* Web Services
Matchmaking
Middleware-Based Ubiquitous Services
Web Service Reconfiguration
Web Service Workflow Composition
Grid Services
* Web Information Filtering and Retrieval
Automatic Cataloging and Indexing
Clustering-Based Recommender Systems
Collaborative Filtering
Digital Library
Distributed Web Search
Hybrid Recommendation
Information Retrieval Criteria and Evaluations
Proxy and Cache Techniques
Search Engines and Meta-search Engines
Specifications for Web Information Extraction Process
Web Crawling Systems
Web Information Categorization and Ranking
Web Prediction and Prefetching
* Intelligent Human-Web Interaction
Adaptive Web Interfaces
Context-Aware Computing
Learning User Profiles
Multimedia Representation
Personalized Interfaces
Personalized Web Sites
Social and Psychological Issues
Visualization of Information and Knowledge
* Web Support Systems
Information Retrieval Support Systems
Web Site Navigation Support Systems
Recommender Support Systems
Soft Computing (including neural networks, fuzzy logic,
evolutionary computation, rough sets, and granular
computing) and Uncertainty Management for WI
Web-Based Decision Support Systems
* Intelligent E-Technology
Collaborative Filtering and Recommendation
Business Intelligence
Decentralized Community Communication Techniques
E-Business and E-Commerce
E-Community
E-Finance
E-Government
E-Learning
E-Publishing
E-Science
Intelligent Enterprise Portals
Web-Based Direct Marketing and CRM
Web-Based EDI
Web Security, Integrity, Privacy and Trust
IMPORTANT DATES
Electronic submission of full papers: April 4, 2004
Notification of paper acceptance: June 10, 2004
Workshop and tutorial proposal submission: June 10, 2004
Camera-ready of accepted papers: July 5, 2004
Workshops/Tutorials: September 20, 2004
Conference: September 21-24, 2004
For submission instructions and further information, see the
conference site at http://www.maebashi-it.org/WI04 or contact:
WI'04 and IAT'04 Conference Secretariat
[EMAIL PROTECTED]
------------------------------
From: Matthias Klusch <[EMAIL PROTECTED]>
Subject: CFP: CIA 2004 - Intelligent Information Agents for the Internet and
Date: Mon, 08 Dec 2003 21:35:47 +0100
CALL FOR PAPERS
Eighth International Workshop CIA-2004 on
COOPERATIVE INFORMATION AGENTS
September 27 - 29, 2004
Fair and Congress Center, Erfurt, Germany
http://www.dfki.de/~klusch/cia2004
CIA 2004 is co-sponsored by
tranSIT GmbH, Germany
Whitestein Technologies, Switzerland
Spanish Association for Artificial Intelligence, Spain
URJC Decision Engineering Lab (DMR), Spain
IMPORTANT DATES
Deadline for Paper Submission: April 19, 2004
Notification of Authors: June 14, 2004
Camera-Ready Paper: July 5, 2004
AWARDS
The CIA 2004 workshop will issue a BEST PAPER AWARD (donated by DMR)
and a SYSTEM INNOVATION AWARD (donated by Whitestein Technologies) to
acknowledge highly innovative research and development, respectively,
in the area of intelligent information agents. Only submissions to
the CIA 2004 workshop are eligible and will be evaluated by the
program committee, sponsors, and organisational board. For more
information please visit
http://www.dfki.de/~klusch/cia2004awards.html
INVITED TALKS OF EXCELLENCE
* Scenarios of Information Agents in Digital Cities: Description and
Simulation
by Toru Ishida (University of Kyoto, Japan)
* Agent-Based Distributed Data Mining: Current Pleasures, and Future
Directions
by Hillol Kargupta (University of Maryland at Baltimore County,
USA)
* Information Agents and Semantic Web Services: Perspectives,
Technologies, and Applications
by Terry Payne (University of Southampton, UK)
THEME & TOPICS
Information agent technology is one of the major key technologies for
the Internet and worldwide Web. An information agent is a
computational software entity that has access to one or multiple,
heterogeneous and distributed information sources, pro-actively
searches for and maintains relevant information on behalf of its human
users or other agents preferably just-in-time. In other words, it is
managing and overcoming the difficulties associated with information
overload in the open and exponentially growing Internet and Web. One
key challenge of developing advanced information systems is to balance
the autonomy of networked data and knowledge sources with the
potential payoff of leveraging them by the appropriate use of
intelligent information agents. Therefore, the special focus of this
workshop series is on the perspectives, design, and implementation of
intelligent information agents which are able to collaborate in open,
networked data and information environments for and providing added
value to a variety of applications in different domains. The
development of such agents requires expertise in different research
disciplines such as AI, databases, knowledge representation and
reasoning, distributed systems, information retrieval, and Human
Computer Interaction (HCI). Keeping with its tradition all topics in
the research area of intelligent and collaborating information agents
are covered by the CIA 2004 workshop.
Topics are (but not limited to)
* Systems and Applications of Information Agents
- Architectures of information agents.
- Prototypes and fielded systems of information agents.
- Recommender systems; collaborative cases.
- Issues of programming information agents.
* Advanced Theories of Collaboration
- Social filtering, cooperative search, group forming and
negotiation, etc.
- Cooperation in real-time and open environments.
- Self-organising information agent systems.
- Capability-based mediation between information agents.
- Collaboration in peer-to-peer networks.
* Agent-Based Knowledge Discovery
- Knowledge discovery by (systems of) information agents;
collaborative cases.
- Agent-based distributed data mining.
- Distributed information retrieval and Web mining.
* Information Agents for the Semantic Web
- Agent-based service discovery and composition.
- Agent-based service matchmaking and brokering in the Semantic
Web.
- Agent-based distributed ontology learning.
* Mobile Information Agents
- Mobile information agents for distributed information retrieval.
- Engineering mobile information agents.
- Cooperative mobile information agents.
* Information Agents for Ubiquitous Computing Environments
- Information agents for pervasive computing:
Visions, applications, surveys; collaborative cases.
* Rational Information Agents for E-Business
- Models of economic rationality and trust.
- Issues of privacy of communication, data security,
and jurisdiction for agent-mediated trading.
- Coalition and team formation algorithms.
* Intelligent Interfaces for Information Agents
- Human-agent interaction for (systems of) information agents.
- Life-like characters and avatars.
- Information agents for/applied to digital cities.
- Advanced, personalized 3-d visualizations of information spaces.
- Agent-based Web usage mining
- Personalisation; collaborative cases.
* Adaptive Information Agents
- Adaptive information retrieval; collaborative cases.
- Reasoning with imperfect information: collaborative cases.
- Multi-strategy and meta-learning for cooperative information agents.
For submission instructions and futher information, see
http://www.dfki.de/~klusch/cia2004
------------------------------
From: Arthur Pece <[EMAIL PROTECTED]>
Subject: [Imageworld] GMBV 2004: call for papers
Date: Mon, 8 Dec 2003 15:28:40 +0100 (MET)
First announcement and call for papers:
GMBV 2004
Second Workshop on Generative-Model Based Vision
June 2004, in conjunction with CVPR 2004
Second Special Issue on Generative-Model Based Vision
to appear in CVIU in the first half of 2005
Deadline for paper registration: 20 February 2004
Deadline for paper submission: 29 February 2004
Papers can be submitted only for the workshop, only for the special
issue, or for both.
Papers under review for the main conference (CVPR 2004) can be
submitted for the special issue without restrictions. They can also
be tentatively submitted for the workshop, pending the CVPR decision.
Further details are available at:
http://www.diku.dk/users/aecp/GMBV/
GOALS AND SCOPE:
The workshop and special issue aim at bringing together people working
in different areas of computer vision, who share an interest in the
generative-model approach, i.e. building vision algorithms on the
basis of a statistical model of image generation. Both regular papers
and review papers are of interest.
Topics of interest include, but are by no means limited to, the topics
covered in the first GMBV workshop:
http://www.diku.dk/users/aecp/GMBV/gmbv02.html
------------------------------
From: "Gabor Melli" <[EMAIL PROTECTED]>
Subject: KDD-2004 First Call for Papers
Date: Wed, 10 Dec 2003 00:31:26 -0800
CALL FOR RESEARCH PAPERS
KDD-2004
THE TENTH ACM SIGKDD INTERNATIONAL CONFERENCE
ON KNOWLEDGE DISCOVERY AND DATA MINING
August 22-25, 2004
Seattle, WA, USA
http://www.acm.org/sigkdd/kdd2004 or http://www.kdd2004.com
IMPORTANT DATES:
Submission Deadlines:
Electronic Abstract Submission: Feb. 20, 2004 *at noon PST*
Electronic Paper Submission: Feb. 27, 2004 *at noon PST*
Submission Format:
Camera-Ready (no more than 10 pages), electronic submissions
*in PDF format only*
Notification of acceptance/rejection: May 21, 2004
Camera-ready papers due: June 4, 2004
During the past years, the ACM SIGKDD conference has established
itself as the premier international conference on knowledge discovery
and data mining with an attendance of 600-900 people. To continue with
this tradition, the tenth ACM SIGKDD conference will provide a forum
for researchers from academia, industry, and government, developers,
practitioners, and the data mining user community to share their
research and experience. The SIGKDD conference will feature keynote
presentations, oral paper presentations, poster presentations,
workshops, tutorials, and panels, as well as the KDD Cup
competition. Papers on all aspects of knowledge discovery and data
mining are solicited.
Areas of interest include, but are not limited to:
- Applications of data mining (biomedical, e-commerce, defense)
- Data and result visualization
- Data mining and data warehousing
- Data mining for community generation, social network analysis,
and graph-structured data
- Foundations of data mining
- KDD framework and process
- Mining data streams
- Mining high-dimensional data
- Mining text and semi-structured data
- Multi-media data mining
- Novel data mining algorithms
- Spatial and temporal data mining
- Security and privacy issues
- Interactive and online data mining
- Pre-processing and post-processing for data mining
- Robust and scalable statistical methods
Abstracts and full papers must be submitted electronically at the
conference Web site (see URL above). Abstracts must be submitted on or
before February 20, 2004, 12 noon PST (Pacific Standard Time). An
abstract may not contain more than 250 words. No paper will be
considered without having the abstract submitted on time. Full papers
must be submitted on or before February 27, 2004, at 12 noon PST. This
is a FIRM deadline. Papers must be no more than 10 pages in length,
inclusive of all figures, tables, references and appendices. Papers
should be submitted in ACM proceedings format (two columns, 9pt font,
approx. 1in margins). Templates are available at
http://www.acm.org/sigs/pubs/proceed/template.html. Papers must be
submitted in PDF format. Authors are solely responsible for ensuring
that their submissions display and print properly.
All papers will be judged based on their technical merits,
originality, relevance to KDD, and presentation clarity. Papers should
describe original work that has not been published before, is not
under review elsewhere, and may not be submitted elsewhere during
KDD-2004's review period (specialized workshops with a limited
audience excluded).
A separate call is being issued for industrial/government track
papers; see the conference Web site at the URL above. Reviewers can
assign research track submissions to the industrial/government track
and vice-versa, if they feel this to be more appropriate. Calls for
workshop, tutorial and panel proposals can also be found at the
conference Web site.
The KDD-2004 Best Paper awards recognize the best paper in two
categories: fundamental research and applications/applied research.
Fundamental research papers are judged by the significance and
originality of their contribution. Applications/applied research
papers are judged by the practical impact and current or potential
usefulness of the work. In both cases, the clarity and quality of
presentation are also considered.
KDD-2004 will also award scholarships to selected students to help
defray the cost of participating in the conference. Details will
appear on the conference Web site.
For more information, see:
http://www.acm.org/sigkdd/kdd2004 or http://www.kdd2004.com
------------------------------
From: "Hod Lipson" <[EMAIL PROTECTED]>
Subject: GECCO Workshop on Modularity, Regularity, and Hierarchy
Date: Thu, 11 Dec 2003 14:23:13 -0500
GECCO Workshop on Modularity, Regularity, and Hierarchy in
Evolutionary Computation
http://www.mae.cornell.edu/lipson/gecco_modularity.htm
Scalability of open-ended evolutionary processes depends on their
ability to exploit functional modularity, structural regularity and
hierarchy. Functional modularity creates a structural separation of
function that reduces the amount of coupling between internal and
external behavior, allowing evolution to reuse modules as high-level
building blocks. Structural regularity is the correlation of patterns
within an individual, such as symmetry, repetition and
self-similarity, allowing evolution to specify increasingly extensive
structures while maintaining short description lengths. Hierarchy is
the recursive composition of function and structure into increasingly
larger and adapted units, allowing evolution to search efficiently
increasingly complex spaces. This workshop will bring together
researchers interested in these topics to discuss how principles of
modularity, regularity and hierarchy can be applied in open-ended
evolutionary computation.
The goal of this workshop is to encourage discussion of these topics
across boundaries within the evolutionary computation
field. Interested participants are encouraged to submit a 3-4 page
outline of a proposed contribution to this discussion. Selected
authors will be invited to present their ideas at the workshop. The
resulting discussions and contributions will be compiled into an
edited review paper.
Submission: Submit a 3-4 page outline of a proposed contribution to
[EMAIL PROTECTED] in PDF format, by March 8, 2004
http://www.mae.cornell.edu/lipson/gecco_modularity.htm
The workshop will be held as part of the Genetic and Evolutionary
Computation Conference (GECCO) Seattle, Washington USA June 26-30,
2004 (Saturday - Wednesday) http://www.isgec.org/gecco-2004/
------------------------------
From: [EMAIL PROTECTED]
Subject: [TAINN 2004] TAINN2004: First Call for Papers (Text Version)
Date: Fri, 12 Dec 2003 09:47:34 +0200 (EET)
FIRST CALL FOR PAPERS
TAINN 2004
Thirteenth Turkish Symposium on Artificial Intelligence and Neural
Networks June 10-11, 2004, Izmir, Turkey
VENUE
Turkish Symposium on Artificial Intelligence and Neural Networks is an
annual forum for scientists and engineers to present the latest
research results, ideas, developments and applications in fields of
artificial intelligence and neural networks. This year it will be held
at Phoakai Hotel Club in Eski Foca (Izmir), a touristic city at the
west coast of Turkey. You are cordially invited to join us between
Thursday 10 - Friday 11 June, 2004.
AIMS and SCOPE
Papers presenting original research results and original
implementations in the topics of interest listed below are solicited.
- Philosophical issues of AI
- Expert Systems/KB
- Multi-agent Systems and Distributed AI
- Knowledge Management
- Intelligent Interfaces: Multimedia, Virtual Reality
- Natural Language Processing /Understanding
- Genetic Algorithms
- Fuzzy Logic
- Belief Revision
- Machine Learning
- Intelligent Tutoring Systems
- Data Mining and Knowledge Discovery
- Knowledge Representation
- Knowledge Verification, Sharing and Reuse
- Ontologies
- Qualitative Reasoning
- Constraint Programming
- Common Sense Reasoning
- Nonmonotonic Reasoning
- Spatial and Temporal Reasoning
- Robotics
- Evolutionary Algorithms
- Planning and Scheduling
- Decision Making
- Hybrid Intelligent Systems
- Logic Programming
-- Uncertainty / Probabilistic Reasoning
- Neural Network Architectures
- Learning Algorithms
- Learning Theory
- Generalization
- Support Vector Machine
- Classification
- Clustering
- Neural Networks for Optimization
- Neurodynamics and Attractor Networks
- Fuzzy Neural Networks
- Neural Networks for Control, Communication, and Signal Processing
- Engineering Applications of Neural Networks
- Hardware and Software Implementation(s)
PAPER SUBMISSION
Authors are invited to submit research and application papers, not
exceeding 10 pages representing original, previously unpublished
work. The symposium language is Turkish and English. The symposium
will consist of invited talks, regular presentations, and poster
sessions. All submitted papers will be reviewed and accepted papers
will be published in the symposium proceedings. Authors are
encouraged to submit papers in the TAINN format using the on-line
paper submission or by e-mail to the symposium address. The format of
the paper submission is given at the symposium website.
CONTACTS:
TAINN 2004
Dokuz Eylul Universitesi
Elektrik - Elektronik Muh. Bolumu
Kaynaklar Kampusu
35160 Buca, Izmir
TURKEY
E-mail : [EMAIL PROTECTED]
Phone : +90 232 453 10 08
Fax : +90 232 765 71 02
Web : http://www.deu.edu.tr/tainn2004
IMPORTANT DATES:
Paper Submission Deadline : March 25, 2004
Notification of Acceptance : April 16, 2004
Final Copy Due : May 1, 2004
------------------------------
From: Ion Muslea <[EMAIL PROTECTED]>
Subject: ATEM-04 Call for Papers
Date: Fri, 12 Dec 2003 10:28:06 -0800
Call for Papers
The AAAI-04 Workshop on "Adaptive Text Extraction and Mining" (ATEM-04)
San Jose, California
July 2004
http://www.ai.sri.com/~muslea/ATEM-04.html
WORKSHOP DESCRIPTION
The amount of information that is available in the form of
unstructured and semistructured documents keeps increasing at an
unprecedented rate. Even though these terabytes of text contain
invaluable information for virtually every domain of activity, the
existing tools for accessing and exploiting this data fall short of
users' needs, thus preventing the effective use of these rich
information sources.
Recent years have brought significant interest and progress in
developing techniques for the automatic extraction and mining of text
corpora. Adaptive text extraction and mining (ATEM) is an extremely
active area of research that lies at the intersection of diverse
fields such as information extraction, text mining, machine learning,
data mining, link analysis, information retrieval, natural language
processing, and information integration. As developments in any of
these fields have an immediate effect on the other ones, it is crucial
to ensure the free exchange of ideas among researchers that work on
various aspects of ATEM. The purpose of this workshop is to bring
together researchers and practitioners from all these communities, so
that they can discuss recent results and open problems.
TOPICS
The workshop's topics include, but are not limited to, applying
machine learning and data mining to:
- text extraction and mining
- link analysis & relationship discovery within text corpora
- data cleaning & record linkage
- automated ontology acquisition
Of particular interest are "provoking" papers raising questions such
as "is parsing necessary for high-quality information extraction?",
"are ontologies really useful for ATEM?", or "is domain-independent
ATEM really doable?".
WORKSHOP FORMAT
The workshop will consist of two full-paper sessions, a short-paper
session, an invited presentation, and a panel discussion on lessons
learned and future trends in the field.
SUBMISSION
The attendees must submit either a long/short paper (6 and 3 pages,
respectively), or a 1-page research statement. The submisions, which
must comply with the AAAI-2004 style, will be emailed to
[EMAIL PROTECTED]
as PS/PDF attachements (the email's subject must be "ATEM-04
submission").
IMPORTANT DATES:
Papers due: March 12, 2004
Acceptance notification: April 16, 2004
Camera-ready copy due: May 25, 2004
WORKSHOP URL:
http://www.ai.sri.com/~muslea/ATEM-04.html
------------------------------
From: John S Shawe-Taylor <[EMAIL PROTECTED]>
Subject: Expanded Machine Learning Group and RA positions at Southampton
Date: Fri, 5 Dec 2003 19:18:08 +0000 (GMT)
The Machine Learning Group at the University of Southampton, England,
is being expanded with the addition of three new members. From 1st
February it will comprise:
Steve Gunn,
Manfred Opper,
Adam Prugel-Bennett,
Craig Saunders and
John Shawe-Taylor
It forms part of the Image, Speech and Intelligent Systems group
headed by John Shawe-Taylor within the School of Electronics and
Computer Science - see web page: http://www.isis.ecs.soton.ac.uk
There are a number of RA positions being currently advertised
(http://www.isis.ecs.soton.ac.uk/vacancies/). John, Steve and Manfred
will all be attending NIPS and will happily discuss these openings
with anyone interested.
In addition (subject to the final green light from the EU) the group
will be the coordinator of a new Network of Excellence, 'Pattern
Analysis, Statistical Modelling and Computational Learning (PASCAL)',
involving 56 partners from Europe and Australia. Information about
the project and up-coming events will be advertised on the project
website www.pascal-network.org.
------------------------------
From: Nicholas Kushmerick <[EMAIL PROTECTED]>
Subject: Postdoc - University College Dublin (Ireland): Machine learning,
Date: Mon, 08 Dec 2003 13:42:30 +0000
POST-DOC University College Dublin (Ireland)
Machine Learning, Information Extraction & Retrieval
The Adaptive Information Access research group at University College
Dublin is recruiting a Post-Doctoral Researcher, to start in March
2004.
As part of a research team comprising about 10 researchers, you will
plan and execute cutting-edge research activities related to
next-generation intelligent information services. The particular
research focus will be tailored to your interests and expertise, but
will involve the use of machine learning techniques to solving
problems related to information access/retrieval and text/knowledge
management.
You'll have recently completed your Ph.D. in Computer Science, with
research expertise in one (and ideally several) of the following:
machine learning, information extraction, natural language processing,
and information retrieval. In addition to relevant research expertise,
the ideal candidate will have excellent writing, software development
and self-management skills.
Our research is funded by large long-term research grants from Science
Foundation Ireland and the US Office of Naval Research.
For more information, please see
www.cs.ucd.ie/staff/nick/home/research/recruitpd.html
To apply, email <[EMAIL PROTECTED]> a detailed CV, 2-4 recent research
publications, and contact details for two references. Closing date:
16 January 2004.
------------------------------
From: Adrian Raftery <[EMAIL PROTECTED]>
Subject: Robust Covariance Estimation (NNVE) Software Available
Date: Thu, 4 Dec 2003 19:20:41 -0800 (PST)
Robust Covariance Estimation Software via Nearest Neighbor Variance
Estimation (NNVE)
Software to carry out robust covariance estimation by Nearest Neighbor
Variance Estimation (NNVE) [Wang and Raftery (2002,
J. Amer. Statist. Ass.)] is now available for R and Splus. In the
simulation studies published in JASA, this had mean squared error at
least 100 times smaller than that of other leading covariance
estimators when the proportion of outliers was high.
cov.nnve is now available in the covRobust contributed package at
http://cran.r-project.org/src/contrib/PACKAGES.html#covRobust
The Splus version is available on the S archive of Statlib
http://lib.stat.cmu.edu/S/
under the function name cov.nnve
cov.nnve is by Naisyin Wang and Adrian Raftery, with contributions by
Chris Fraley.
References:
Wang, N. and Raftery. A.E. (December 2002). Nearest-neighbor variance
estimation (NNVE): Robust covariance estimation via nearest-neighbor
cleaning (with Discussion). Journal of the American Statistical
Association 97(460): 994-1019.
Wang, N. and Raftery. A.E. (2000). Nearest-neighbor variance
estimation (NNVE): Robust covariance estimation via nearest-neighbor
cleaning. Technical Report no. 368, Department of Statistics,
University of Washington. Available at
www.stat.washington.edu/www/research/reports
------------------------------
End of ML-LIST Digest Vol 15, No. 22
************************************
