ml
Tue, 23 Jun 2009 14:30:27 -0700
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Machine Learning List: Volume 21, Number 4
Tuesday, June 23, 2009
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Contents
Call for Site Proposals
ECML/PKDD 2011
Call for Participation
ICAPS 2009 Doctoral Consortium
ICLP 2009
IDA 2009
Call for Papers
Mining Social Media
Intelligent Computing and Intelligent Systems
IEEE Special Issue "Al in Space"
Evolutionary and RI for Autonomous Robot Systems
ICAPS Workshops
Career Opportunities
Sandia National Labs in Albuquerque, NM
Post-Doctoral Research
ML/Bioinformatics, USC, CA
Monash Fellowship Program, Australia
Ph.D. Studentship
Parallel Large Scale M for Supercomputing, Canada
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Date: Apr 26, 2009
From: Johannes Fuernkranz <ju...@ke.informatik.tu-darmstadt.de>
Subject: ECML/PKDD 2011
Call for Proposals for ECML/PKDD 2011
European Conference on Machine Learning and
Principals and Practice of Knowledge Discovery in Databases
http://www.ecmlpkdd.org/content/call-proposals-ecml-pkdd-2011
Proposal Submission Deadline: June 30, 2009
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Date: Apr 28, 2009
From: Fernando Fernandez Rebollo <ffern...@inf.uc3m.es>
Subject: ICAPS 2009 Doctoral Consortium
Call for Participation
19th International Conference on Automated Planning and Scheduling
ICAPS-2009
Thessaloniki, Greece, September 19-23, 2009
http://icaps09.icaps-conference.org/
Paper Submission Deadline: June 26, 2009
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Date: May 26, 2009
From: Ricardo Rocha <ric...@dcc.fc.up.pt>
Subject: ICLP 2009
Call for Participation
25th International Conference on Logic
Programming (ICLP 2009)
Co-located with IJCAI 2009 (http://ijcai-09.org)
Pasadena, California, USA, July 14-17, 2009
http://www.ist.unomaha.edu/iclp2009
Early Registration Deadline: June 20, 2009
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Date: Jun 17, 2009
From: Bruno Cremilleux <bruno.cremill...@info.unicaen.fr>
Subject: IDA 2009
Call for Participation
8th International Symposium on Intelligent Data Analysis (IDA'09)
Lyon, France, August 31 - September 2, 2009
http://liris.cnrs.fr/ida09/
Early Registration Deadline: June 28, 2009
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Date: May 6, 2009
From: Jos Carlos Cortizo Prez <josecarlos.cort...@uem.es>
Subject: Mining Social Media
Call for Papers
CAEPIA 2009 1st International Workshop on Mining Social Media
Sevilla, Spain, November 9, 2000
http://www.socialgamingplatform.com/msm09/
Paper Submission Deadline: July 31, 2009
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Date: May 11, 2009
From: Dacheng Tao <dacheng....@gmail.com>
Subject: Intelligent Computing and Intelligent Systems
Call for Papers
IEEE International Conference on Intelligent Computing
and Intelligent Systems (IEEE ICIS 2009)
Shanghai, China. November 20-22,2009
http://www.icis09.cn/login.asp
Paper Submission Deadline: July 15, 2009
Camera-ready Deadline: September 20, 2009
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Date: May 24, 2009
From: Yu Zhang <yzh...@cs.trinity.edu>
Subject: IEEE Special Issue "AI in Space"
Call for Papers
AI in Space
Guest Editors
Mike Shaft, mike.sha...@nasa.gov
Maarten Sierhuis, maarten.sierh...@nasa.gov
Robert Hoffman, rhoff...@ihmc.us
Submissions Deadline: February 19, 2010
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Date: May 26, 2009
From: Nils T Siebel, ERLARS Workshop <n...@erlars.org>
Subject: Evolutionary and RL for Autonomous Robot Systems
Call for Papers
2nd International Workshop on Evolutionary and Reinforcement Learning for
Autonomous Robot Systems
Held in conjunction with IROS 2009
St. Louis, MO, USA, October 15, 2009
Submission deadline: July 5, 2009
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Date: May 27, 2009
From: Fernando Fernandez Rebollo <ffern...@inf.uc3m.es>
Subject: ICAPS Workshops
Call for Workshop Proposals
19th International Conference on Automated Planning and Scheduling
ICAPS-2009
Thessaloniki, Greece, September 19-23, 2009
http://icaps09.icaps-conference.org/
Workshop Paper Submission Deadline: June 23rd, 2009
Camera-ready Deadline: August 8th, 2009
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Date: Jun 18, 2009
From: Dixon, Kevin R <krdi...@sandia.gov>
Subject: Sandia National Labs in Albuquerque, NM
Sandia National Laboratories
Job Title: Computer Software Research & Development
Job ID: 62822
Location: SNL New Mexico - SA
Close Date: 07/06/2009
Our rapidly expanding funding has created openings
for experts in machine learning (or related fields such
as cognitive modeling) to join our team. Candidates
should be able to demonstrate a strong background
in machine learning, statistics, data mining, numerical
methods, or related fields with relevant research and
development experiences.
Candidates should also be knowledgeable about
object-oriented software development with strong
programming skills and knowledge of software
engineering processes. The positions are meant to
support both ongoing and new programs in research
and development for a diverse set of customers.
The candidate will work in teams to develop solutions
to complex problems using machine learning methods
and integrating them into new and existing software
capabilities. The successful candidate will be a
self-motivated individual who works well independently
and in a team environment. Some travel may be required.
For details, visit
http://www.sandia.gov/employment/
career-opp/index.html
and search for Job ID: 62822
Kevin R. Dixon
Sandia National Laboratories (06341)
MS1188, TA-IV: 980/31
tel: (505) 284-5615
fax: (505) 844-8604
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Date: Jun 17, 2009
From: Xianghong Jasmine Zhou <xjz...@college.usc.edu>
Subject: ML/Bioinformatics, USC, CA
Post-doc Position in Machine Learning/Bioinformatics
University of Southern California
Los Angeles, California
The Computational Laboratory of Integrative
Genomics at University of Southern California
seeks a motivated and talented PhD for a
postdoctoral position in Bioinformatics.
The candidate will work on developing machine
learning algorithms for large-scale genomic data,
such as biological networks, microarray gene
expression data, genome-wide association data.
More information about our lab can be found at
http://zhoulab.usc.edu.
More information about the USC CompBio
division can be found at http://www.cmb.usc.edu
Candidate Qualification:
* Recent Ph.D. in Machine Learning with excellent
publication record
* Bioinformatics experiences preferred
Please send CV and two contact addresses of
references to Prof. Jasmine Zhou xjz...@usc.edu.
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Date: Jun 20, 2009
From: David L Dowe <david.d...@infotech.monash.edu.au>
Subject: Monash Fellowship Program, Australia
Monash University has established the prestigious Monash
Fellowships Program to attract internationally competitive
researchers from any discipline to undertake research of
national and international significance and provide them
with the best possible research environment.
The Fellowships will be in the form of a direct appointment
following a Monash-conducted competitive process open to
researchers from outside Monash University, from within
and outside Australia.
Applicants should normally have at least two (2) but not
more than eight (8) years of post-doctoral research
experience and demonstrate excellent research
outcomes at international level.
Assoc. Prof. David Dowe (www.csse.monash.edu.au/~dld)
seeks applicants. For a detailed (but not exhaustive) survey
of possible areas of work, see, e.g., D. L. Dowe (2008a),
``Foreword re C. S. Wallace'', Computer J. (Oxford Univ. Press)
[http://dx.doi.org/10.1093/comjnl/bxm117 ,
http://comjnl.oxfordjournals.org/content/vol51/issue5],
Christopher Stewart WALLACE (1933-2004) memorial
special issue, pp523-560.
Annual salary in the Research Fellow Level B range is
Aus$83,363 - Aus$98,994 p.a. (includes employer
superannuation of 17%) plus a research support grant of
up to Aus$50,000 per annum (p.a.), for five (5) years.
It is expected that up to four (4) awards will be made.
Additional information, including application forms and guidelines,
can be obtained from the following Monash University web site:
www.monash.edu.au/research/academics/funding/information/
monash/monash-fellowships.html
(and www.monash.edu.au/jobs).
Duration: Five-year appointment.
Location: Monash University's Clayton campus, Melbourne, Australia.
Ref. No.: A099977.
Go to www.monash.edu.au/jobs for position details and application
information.
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Date: Jun 19, 2009
From: Christian Gagn <christian.ga...@gel.ulaval.ca>
Subject: Parallel Large Scale ML for Supercomputing, Canada
PhD Student Position on Parallel Large Scale Machine Learning for
Supercomputing
Full announcement available at:
http://vision.gel.ulaval.ca/~cgagne/poste_largescale.pdf
The Computer Vision and Systems Laboratory of Universite Laval is
requesting applications for PhD students in the field of intelligent
distributed systems. More specifically, the research project will be
on the development of supervised learning algorithms for processing
large databases, as well as the massive parallelization of these
algorithms for supercomputing and grid computing. We are seeking
serious and motivated candidates with interest and preferably
experience in the fields of machine learning, evolutionary computation
and/or high performance computing. This position should be filled as
soon as possible.
At the moment of beginning the project, the selected candidate should
have completed a Masters diploma (or equivalent) in a relevant field
such as computer engineering or computer science, and satisfy
admission conditions of the electrical engineering PhD program at
Universite Laval. The financial support offered is $19 000 CAD/year,
non-taxable by the different government levels of Canada. The tuition
fee for non-Canadian PhD students at Universite Laval is approximately
$3000 CAD/year.
Applications should be submitted electronically and include a detailed
curriculum vita, a scan of university transcripts as well as some
papers or scientific reports where the applicant is the main author.
Contact: Christian Gagne, professor
Email: christian.ga...@gel.ulaval.ca
Web: http://vision.gel.ulaval.ca/~cgagne
Universite Laval, the first French-speaking university in America, is
one of the most important universities in Canada. Actively engaged in
the community, Laval offers a first-class training and research
environment in the heart of Quebec City, declared a World Heritage
Site by UNESCO. Courses at Universite Laval are taught in French, but
research can be conducted in English.
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End of ML-LIST Digest Vol 21, No. 4