Machine Learning List: Vol 19, No. 5
[email protected] Thu, 11 Oct 2007 14:41:38 -0700 (PDT)
| Newsgroups | gmane.comp.ai.machine-learning |
|---|---|
| Message-ID | <[email protected]> |
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Machine Learning List: Volume 19, Number 5
Wednesday, October 11, 2007
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Contents
Call For Papers
Semantic Web Applications and Perspectives
Evolutionary Intelligence - Special Issue on AIS
FLAIRS-21
Robotics Challenges for Machine Learning
New Problems and Methods in Computational Biology
International Conference on Data Mining
Meta-learning in Computational Intelligence
NIPS Workshop on Topology Learning
Artificial Intelligence and Pattern Recognition
Career Opportunities
Academia.edu - Machine Learning Expert
Research Position in Machine Learning/CBIR
Post-Doctoral Research
Computer-Aided Diagnosis - The University of Chicago
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Date: Jul 18, 2007
From: Giovanni Semeraro <[email protected]>
Subject: Semantic Web Applications and Perspectives
Call for Papers
4th Italian Semantic Web Workshop
Semantic Web Applications and Perspectives (SWAP)
Bari, Italy, December 18-20, 2007
http://www.swapconf.it/2007
Paper Submission Deadline: October 16, 2007
Camera-ready Deadline: December 11, 2007
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Date: Jul 27, 2007
From: Uwe Aickelin <[email protected]>
Subject: Evolutionary Intelligence - Special Issue on AIS
Call for Papers
Evolutionary Intelligence - Special Issue on Artificial Immune Systems
postbiota.org/pipermail/tt/2007-July/001101.html
Paper Submission Deadline: December 1, 2007
Camera-Ready Deadline: March 1, 2008
Expected Publication: August 2008
Guest Editor
Uwe Aickelin ([email protected])
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Date: Aug 7, 2007
From: Kevin Grant <[email protected]>
Subject: FLAIRS-21
Call for Papers
FLAIRS-21, Special Track on Uncertain Reasoning (UR)
Coconut Grove, Florida, USA, May 15-17, 2007
http://www.cis.uoguelph.ca/~ur08/
Paper Submission Deadline: November 19, 2007
Camera-ready Deadline: February 21, 2008
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Date: Aug 22, 2007
From: Jan Peters <[email protected]>
Subject: Robotics Challenges for Machine Learning
Call for Posters
NIPS 2007 WORKSHOP: Robotics Challenges for Machine Learning
Whistler, B.C., Canada, December 7-8, 2007
http://www.robot-learning.de
Abstract Submission Deadline: October 21, 2007
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Date: Aug 29, 2007
From: William Stafford Noble <[email protected]>
Subject: New Problems and Methods in Computational Biology
Call for contributions
New Problems and Methods in Computational Biology
A workshop at the Twenty-First Annual Conference on
Neural Information Processing Systems (NIPS 2007)
Whistler, BC, Canada, December 7-8, 2007
http://www.mlcb.org
Extended Abstracts Submission Deadline: October 15, 2007
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Date: Aug 30, 2007
From: Osmar R. Zaiane" <[email protected]>
Subject: International Conference on Data Mining
Call for Participation
7th IEEE International Conference on Data Mining (ICDM'07)
Omaha, NE, USA, October 28-31, 2007
http://www.ist.unomaha.edu/icdm2007/
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Date: Sep 12, 2007
From: Norbert Jankowski <[email protected]>
Subject: Meta-learning in Computational Intelligence
Call for Book Chapters
Meta-learning in Computational Intelligence.
Publisher: Springer Verlag, Series: Studies in Computational Intelligence
[email protected]
Extended Abstracts Deadline: October 10, 2007
Full Chapter Deadline: December 15, 2007
Publication Date: Late spring, 2008
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Date: Sep 12, 2007
From: aupetit <[email protected]>
Subject: NIPS Workshop on Topology Learning
Call for participation
NIPS Workshop on Topology Learning
New challenges at the crossing of Machine Learning,
Computational Geometry and Topology
Whistler, British Columbia, Canada, December 7-8, 2007
http://topolearnnips2007.insa-rouen.fr/
Submission of Abstracts: October 12, 2007
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Date: Sep 25, 2007
From: Bhanu Prasad <[email protected]>
Subject: Artificial Intelligence and Pattern Recognition
Call for Papers
2008 International Conference on Artificial Intelligence and
Pattern Recognition (AIPR-08)
Orlando, Florida, USA, July 7-10, 2008
www.PromoteResearch.org
Draft Paper Submission Deadline: February 4, 2008
Acceptance/Rejection Decision: March 3 2008
Camera-ready Deadline: April 4 2008
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Date: Sep 13, 2007
From: Richard Price <[email protected]>
Subject: Academia.edu - Machine Learning Expert
Academia.edu looking for machine learning expert
www.Academia.edu is a Facebook-style site for academics, which has
recently launched. It is looking to hire an expert in machine learning
to join the team.
We are looking for someone to work with us to help us develop, and scale
up,
the paper-tracker. We are looking for someone who:
-Has experience in machine learning
-Is keen to develop tools for that improve academics lives
-Loves problem-solving
-Learns super-quickly
-Is enthusiastic about working in a startup with a large equity stake
Experience building a previous application is definitely a plus, though
not essential. Experience extracting meta-data from documents is also a
plus, but not essential.
We are based in San Francisco. We are offering a salary of $80,000, and
options of between 4-5%. We have a small very strong team, and want to
hire really brilliant people. If you would like to hear more about
Academia.edu, please contact Richard Price at [email protected]
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Date: Sep 21, 2007
From: Peter Auer <[email protected]>
Subject: Research position in Machine Learning/CBIR
Research position in Machine Learning/CBIR
Chair for Information Technology, University of Leoben, Austria
For an EU-funded project we are looking for a highly motivated post
doctoral researcher in machine learning with an emphasis on on-line
learning, active learning, and/or reinforcement learning. The
application domain in this project is content based image/information
retrieval (CBIR) and/or cognitive vision.
To learn more about the above project and the research at the Chair of
Information Technology, University of Leoben, Austria, please visit
http://unileoben.ac.at/~infotech.
This position can be filled immediately for up to four years. Depending
on your qualification salary is in the range 30000-45000 EUR per year
(after all social and insurance benefits and taxes this is net 1500-2000
EUR per month). Highly qualified PhD candidates will be considered as
well.
Applicants should submit 1) a CV, including a brief research statement,
2) 1-3 recent publications in electronic format, and 3) the names and
contact information of three individuals who can serve as references.
Contact:
Univ.-Prof. Dr. Peter Auer
University of Leoben
Chair for Information Technology
Franz-Josef-Strasse 18, A-8700 Leoben, Austria
Fax: +43(3842)402-1502
E-mail: [email protected]
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Date: Sep 21, 2007
From: Kenji Suzuki <[email protected]>
Subject: Computer-Aided Diagnosis - The University of Chicago
A Postdoctoral Scholar position is available for a highly motivated
individual who wants to develop or advance his/her academic career in the
field of medical imaging sciences/engineering. Our laboratory in the
Department of Radiology in the Biological Sciences Division at The
University of Chicago focuses on research on computer-aided diagnosis of
lesions in medical images and the development of techniques of pattern
recognition, image analysis, and machine learning for computer-aided
diagnosis. Our department is one of the leaders in computer-aided
diagnosis
research, which is at the forefront of research areas in medical imaging.
Applicants should have a Ph.D. in computer science/engineering, biomedical
engineering, or a similar discipline. The successful candidate should
have
substantial experience in 2D and 3D pattern recognition, computer vision,
image analysis, and/or machine learning. The successful candidate should
also have excellent programming skills in the computer languages (C/C++,
Perl, and Matlab), as well as strong problem-solving and excellent
collaboration skills.
Interested candidates are encouraged to send their CV and a brief
statement
of research interests to: mailto:[email protected] Kenji Suzuki,
Ph.D.,
Assistant Professor of Radiology, Medical Physics, and Cancer Research
Center, Department of Radiology, Division of the Biological Sciences, The
University of Chicago.
For more information, see our laboratorys home page at
http://suzukilab.uchicago.edu/
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End of ML-LIST Digest Vol 19, No. 5