Machine Learning List: Vol. 16, No. 13
Monday, August 23, 2004
Contents
Calls for Papers/Participation
Second Call For Papers - RASC2004
FLAIRS 2005 Call For Papers
CFP: Evolutionary Computation at GECCO-2005
ECML/PKDD 2004: Call for Participation
Career Opportunities
Faculty Position in Machine Learning/AI
Six research positions in systems biology
Machine learning researcher - Motorola, Phoenix
PhD Studentship in DM/ML at BYU
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.
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From: Ahmad Lotfi <[EMAIL PROTECTED]>
Subject: Second Call For Papers - RASC2004
Date: Mon, 2 Aug 2004 11:54:25 +0100
Call for Papers
5th International Conference on Recent Advances in Softcomputing
Nottingham, United Kingdom, 16-18 December 2004
www.rasc2004.info or www.softcomputing.info
INTRODUCTION
The 5th International Conference on Recent Advances in Soft Computing,
RASC2004, will be held at Nottingham Trent University on December
16-18, 2004. This international scientific conference is intended to
provide a forum for researchers and engineers to report key advances
and exchange state-of-the-art knowledge and experience in the field of
"Soft Computing". The conference will cover the theory and application
of soft computing techniques namely: Fuzzy Logic and Systems, Neural
Networks, Hybrid Systems, Genetic Algorithms, Evolutionary Computing,
Smart Adaptive Systems, and Intelligent Systems.
The organising committee of the conference encourages young researchers
and research students to participate in this non-commercial event by
offering discounted registration fees.
The nature of soft computing is that there is a wide diversity of
techniques and applications and it is hoped that this diversity will
be exhibited in the papers accepted.
----------------------
From: Diane Cook <[EMAIL PROTECTED]>
Subject: FLAIRS 2005 Call For Papers
Date: Thu, 5 Aug 2004 13:35:27 -0500
FLAIRS 2005
First Call for Papers
The 18th International FLAIRS Conference
The Adam's Mark Hotel
Clearwater Beach, FL
May 16-18, 2005
Web page: http://ranger.uta.edu/flairs05/
Submission Deadline: October 22, 2004
The 18th International FLAIRS conference seeks high quality, original,
unpublished submissions in all areas of Artificial Intelligence,
including, but not limited to, neural networks, autonomous agents,
case-based reasoning, computer vision, data mining, expert systems,
genetic algorithms, intelligent user interfaces, intelligent tutoring
systems, knowledge representation and management, learning, automated
reasoning, multi-agent systems, natural language processing, planning,
uncertainty reasoning, robotics, semantic web, speech recognition,
temporal reasoning, AI and the Web, AI applications, AI and education,
and verification/validation.
Papers will be refereed and all accepted papers will appear in the
conference proceedings which will be published by AAAI Press. Selected
authors will be invited to submit extended versions of their papers to
a special issue of the International Journal on Artificial Intelligence
Tools to be published in 2006.
The deadline for paper submission is October 22, 2004. Additional
information on paper submission is available at
http://www.cs.ccsu.edu/flairs2005/. For questions about submission,
contact program co-chair, Zdravko Markov at [EMAIL PROTECTED] or
Ingrid Russell at [EMAIL PROTECTED]
Twenty special tracks are being planned for the conference. For
additional information on the special tracks, consult the special
tracks web page at: http://cs.gettysburg.edu/~tneller/flairs05/.
For general information about FLAIRS 2005, contact the conference
general chairs, Diane Cook at [EMAIL PROTECTED] or Larry Holder at
[EMAIL PROTECTED]
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From: Cem Baydar <[EMAIL PROTECTED]>
Subject: CFP: Evolutionary Computation at GECCO-2005
Date: Mon, 16 Aug 2004 19:29:09 -0500
Evolutionary Computation in Practice at
Genetic and Evolutionary Computation Conference
June 25-29, 2005 (Saturday - Wednesday)
Washington, D.C., USA
http://isgec.org/gecco-2005/ecp.html
Invitation for Abstract Submission
For the past three years, Evolutionary Computation in Industry (ECI)
track at Genetic and Evolutionary Computation Conference (GECCO) has
invited many managers, technology scouts and practitioners to discuss
how evolution-related technologies are solving real-world problems.
In 2005, we will continue this tradition of project presentations and
panel discussions from members in industry. Additionally, we want to
expand our scope to include presentations by representatives from
governmental agencies, non-profit organizations and others in the
public sectors. Moreover, a new topic on bridging academic training
and real-world usage of evolution-related technologies is introduced.
To reflect these changes, we rename the track as Evolutionary
Computation in Practice (ECP), indicating that it will become a forum
to discuss issues related to practical application of Evolutionary
Computation.
We invite you to present work that employs evolution-related
technologies to solve real-world problems. We are accepting one
to two page abstracts for review, with the themes:
* Real-world application success story;
* Real-world application lessons learned;
* Academic case study in real-world applications;
* Expectations of academic training from industry;
The subject domains include but are not limited to:
* Biomedical;
* Design;
* Energy and Resources;
* Finance;
* Government and Military;
* Academic training for real-world applications;
The applied technology can be any evolution-related algorithms or
its hybrid with other techniques. For a list of evolution-related
technologies, please refer GECCO-2005 website. Examples of other
technologies are simulated annealing, tabu search, neural network,
fuzzy logic, statistical modeling, and decision trees.
Submission deadline: January 31, 2005
Electronic submissions should be sent to: [EMAIL PROTECTED]
Organizers:
* Tina Yu, ChevronTexaco Information Technology Company,
[EMAIL PROTECTED]
* Cem Baydar, Accenture, [EMAIL PROTECTED]
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From: ECML/PKDD 2004 Announcement <[EMAIL PROTECTED]>
Subject: ECML/PKDD 2004: Call for Participation
Date: Fri, 20 Aug 2004 19:15:11 +0200
Call for Participation
ECML/PKDD-2004
Pisa, Italy, September 20-24, 2004
http://ecmlpkdd.isti.cnr.it
[EMAIL PROTECTED]
REGISTRATION AND HOTEL ACCOMMODATION:
http://ecmlpkdd.isti.cnr.it/registration.html
PROGRAM AT A GLANCE:
http://ecmlpkdd.isti.cnr.it/program.html
The 15th European Conference on Machine Learning (ECML) and the 8th
European Conference on Principles and Practice of Knowledge Discovery
in Databases (PKDD) will be held co-located in PISA, ITALY, September
20-24, 2004.
VENUE: The conference will be held at the university conference center
"Polo Didattico G. Carmignani", adjacent to Scuola Normale Superiore,
in the historical center of the town of Pisa (Piazza dei Cavalieri).
Blocks of rooms have been reserved at various hotels, most at a walking
distance from the conference site. Please make your registration and
hotel arrangements as early as possible: hotel booking is available
together with the online registration procedure.
TRAVEL INFO: http://ecmlpkdd.isti.cnr.it/localArrangements.html
LATE REGISTRATION: There is a late registration fee of 480 euros that
includes conference attendance, workshops and tutorials attendance,
Springer LNCS/LNAI proceedings of ECML and PKDD (2 separate volumes),
coffee breaks, a welcome party, an excursion to the historical town of
Lucca with associated conference banquet, a CD-ROM with workshops
proceedings and tutorial notes.
SCIENTIFIC PROGRAM
There is a wide WORKSHOP/TUTORIAL program, consisting of ten workshops,
the DISCOVERY CHALLENGE workshop, and seven tutorials, to be held on
Monday 20 and Friday 24 September.
WORKSHOPS: http://ecmlpkdd.isti.cnr.it/workshops.html
TUTORIALS: http://ecmlpkdd.isti.cnr.it/tutorials.html
DISCOVERY CHALLENGE: http://lisp.vse.cz/challenge/ecmlpkdd2004
The ECML/PKDD MAIN PROGRAM starts with a plenary session on Monday 20
in the evening, and closes with another plenary session on Friday 24
September. 84 full papers have been accepted for presentation in the
technical sessions, while other 15 papers have been accepted as
posters, and will be exhibited collectively in a poster session. The
program also comprises a DEMO SESSION, where 12 selected demonstrators
exhibit innovative applications or successful experiences/prototypes
that show the integration of new Data Mining and Machine Learning
technologies.
ACCEPTED PAPERS, POSTERS AND DEMOS:
http://ecmlpkdd.isti.cnr.it/accepted.html
INVITED TALK ABSTRACTS: http://ecmlpkdd.isti.cnr.it/invited.html
ECML/PKDD PROGRAM CHAIRS are Jean-Francois Boulicaut (INSA-Lyon,
France), Floriana Esposito (University of Bari, Italy), Fosca
Giannotti (ISTI-CNR, Pisa, Italy), and Dino Pedreschi (University
of Pisa, Italy).
------------------------------
From: Mark Herbster <[EMAIL PROTECTED]>
Subject: Faculty Position in Machine Learning/AI
Date: Tue, 3 Aug 2004 14:47:32 +0100
UNIVERSITY COLLEGE LONDON
Department of Computer Science
Three Lecturer / Senior Lecturer Posts
We are seeking talented researchers whose interests are aligned with
our existing departmental strengths. One focus is in the application
and theory of Machine Learning and Artificial Intelligence. A candidate
with these strengths will be expected to play a leading role in the
research and teaching of ML/AI in the Department, and especially in
the development of the our MSc programme in Intelligent Systems (see
http://www.cs.ucl.ac.uk/pg/is/). A successful candidate will have the
opportunity to interact with members of the Gatsby Unit at UCL (see
http://www.gatsby.ucl.ac.uk) whose strengths lie in Machine Learning
and Theoretical Neuroscience.
You can find out more about us at http://www.cs.ucl.ac.uk .
Further details of the posts and the application procedure can be
found at http://www.cs.ucl.ac.uk/vacancies .
The closing date for applications is Thursday, 30 September 2004.
------------------------------
From: Dirk Husmeier <[EMAIL PROTECTED]>
Subject: Research positions in systems biology
Date: Thu, 05 Aug 2004 13:42:09 +0100
Positions are available for a postdoctoral researcher in genetic
network analysis and a PhD student in structural genomics. Both
are ideally suited for candidates with a strong mathematical and
computational background who are interested in applying machine
learning methods to computational molecular biology. For more
information, contact:
Dirk Husmeier
Biomathematics & Statistics Scotland (BioSS)
JCMB, The King's Buildings, Edinburgh EH9 3JZ, United Kingdom
http://www.bioss.sari.ac.uk/~dirk
------------------------------
From: Kari Torkkola <[EMAIL PROTECTED]>
Subject: Machine learning researcher - Motorola, Phoenix
Date: Tue, 10 Aug 2004 16:16:25 -0700
Motorola has an open position in machine learning in the Phoenix area.
Department Description
Motorola Labs - Intelligent Systems Research Lab, Phoenix, AZ. At
Motorola's Intelligent Systems Research Lab we carry out research
on machine intelligence and contextual understanding to design the
next generation mobile and personal devices such as driver assistance
systems and intelligent cell phones. We study user needs in these
environments and conduct the front-end development to provide
solutions that are implemented across a range of products.
Scope of Responsibilities/Expectations
This position is focused on applying an understanding of machine
intelligence to the development of software-based systems for
deployment in next-generation automotive, personal, and home devices.
The Machine Intelligence Researcher will: - Develop and implement
techniques that infer the user's state, activity and intention from
analysis of device and environment-based sensors, personal data and
models of user behavior. - Develop algorithms for user modeling,
pattern recognition, and static and sequential sensor data processing.
These algorithms might include support vector machines, Bayes nets,
hidden Markov models, or particle filters. - Proactively identify
opportunities for technology development, develop technical proposals
and research plans and carry out research. - Work closely with other
machine intelligence and human interaction researchers and product
sector design engineers. - Keep up with the state of the art in
machine learning by following the latest journals and conferences and
the Internet. - Publish and present results to peers, developers,
management and customers.
Specific Knowledge/Skills - PhD in computer science, signal processing,
mathematics, statistics, or relevant discipline with two years of
experience or M.S. with 5 years of experience. - Strong record of
research and innovation in the area of pattern recognition and machine
learning. - Significant experience in software development, such as
Matlab for algorithm development and Java or C/C++ for implementation.
- Experience with large real world data sets is desirable. - Experience
in mobile device ad-hoc networking technologies and applications of
pervasive computing would be an advantage. - Good organizational and
communication skills, both written and oral. - Ability to interact
well with a multi-disciplinary technology team in the creation of new
designs and approaches. - Able to work well across a decentralized
geographically dispersed organization. - Flexibility in scope of job
responsibilities. - Willingness to do light travel.
Please submit your resume through http://www.motorolacareers.com Refer
to job id 13570. Alternatively, email the resume to Greg.Kozlowski at
motorola dot com.
------------------------------
From: Christophe Giraud-Carrier <[EMAIL PROTECTED]>
Subject: PhD Studentship in data mining/machine learning at BYU
Date: Wed, 18 Aug 2004 14:22:21 -0600
PhD Studentship in DM/ML at BYU
Applications are invited for a PhD studentship in the Data Mining Lab
at Brigham Young University to cover living expenses and tuition.
The following are research issues of interest to the research group:
- Mining structure-rich data, i.e., applications where trees, graphs
and other structures are prevalent (e.g., bioinformatics, genealogy)
- Meta-learning for model selection and combination
- Data set/application characterization, in particular landmarking
- Learning algorithm characterization
- Incremental learning, i.e., adapting to new data without retraining
Expression of interest together with a short bio should be sent to:
Christophe Giraud-Carrier
Brigham Young University
Department of Computer Science
[EMAIL PROTECTED]
Note that applicants must be prepared to abide by BYU's Honor Code (see
http://campuslife.byu.edu/HONORCODE/honor_code.htm for details).
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End of ML-LIST Digest Vol 16, No. 13
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