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Machine Learning List: Volume 19, Number 7
Monday, December 3, 2007
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Contents
Call for Papers
Pacific Rim International Conference on Artificial Intelligence
WORLDCOMP'08
Intelligent Information Systems
Machine Learning in Space
Adaptive Computing in Design and Manufacture
Swarm Intelligence for Knowledge Discovery in Data
AAAI-08 Nectar Program
IDEAL 2007
Call for Participation
Artificial Intelligence and Mathematics
Career Opportunities
Careers at NEC Labs, Princeton, NJ
Post-Doctoral Research
Post-Doctoral Position in Bioinformatics
PHD Positions
PhD Position in Statistical Machine Translation, London
Gatsby Computational Neuroscience Unit
Book Announcements
Mathematical Linguistics
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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
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announcements, we will publicize only the name, location, URL, and key
dates. The ML List moderator reserves the right to omit/edit submissions
to meet these criteria.
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Date: Nov 13, 2007
From: Hiroshi Motoda <[EMAIL PROTECTED]>
subject: Pacific Rim International Conference on Artificial Intelligence
Call for Papers, Workshops, and Tutorials
10th Pacific Rim International Conference on Artificial Intelligence
Hanoi, Vietnam, December 15-19, 2008
http://www.jaist.ac.jp/PRICAI-08
Paper Submission Deadline: May 26, 2008
Camera-ready Deadline: August 15, 2008
Workshop Proposal Deadline: June 6, 2008
Tutorial Proposal Deadline: May 6, 2008
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Date: Nov 14, 2007
From: Hamid R. Arabnia <[EMAIL PROTECTED]>
Subject: WORLDCOMP'08
Call For Papers & Session Proposals
The 2008 World Congress in Computer Science, Computer Engineering,
and Applied Computing (WORLDCOMP'08)
Las Vegas, Nevada, USA, July 14-17, 2008
http://www.world-academy-of-science.org
Organizing/Chairing Sessions/Workshops Deadline: December 10, 2007
Paper Submission Deadline: February 25, 2008
Camera-ready Deadline: April 25, 2008
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Date: Nov 16, 2007
From: [EMAIL PROTECTED]
Subject: Intelligent Information Systems
Call for Papers
Intelligent Information Systems 2008 (IIS 2008)
Zakopane, Poland, June 16-18, 2008
http://iis.ipipan.waw.pl/
Paper Submission Deadline: January 1, 2008
Cameral-ready Deadline: March 31, 2008
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Date: Nov 16, 2007
From: Kiri Wagstaff <[EMAIL PROTECTED]>
Subject: Machine Learning in Space
Call for Papers
Machine Learning in Space: Extending Our Reach
Special Issue of the Machine Learning Journal
URL: http://www.wkiri.com/ml4space
Amy McGovern and Kiri L. Wagstaff, Guest Editors
Paper Submission Deadline: March 31, 2008
Camera-ready Deadline: September 30, 2008
Publication Date: End of 2008 or early 2009
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Date: Nov 19, 2007
From: Ian Parmee <[EMAIL PROTECTED]>
Subject: Adaptive Computing in Design and Manufacture
Call for Papers
8th International Conference on Adaptive
Computing in Design and Manufacture (ACDM08)
Bristol, United Kingdom, April 29 - May 1, 2008
See website http://www.ad-comtech.co.uk/ACDM08
Paper Submission Deadline: December 14, 2007 (Extended)
Camera-ready Deadline: March 1, 2008
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Date: Nov 20, 2007
From: Tom Fawcett <[EMAIL PROTECTED]>
Subject: Swarm Intelligence for Knowledge Discovery in Data
Call for Papers
Swarm Intelligence for Knowledge Discovery in Data
Special Issue of the Machine Learning Journal
http://www.econ.kuleuven.be/public/ndbaf65/CFP.pdf
David Martens, Tom Fawcett, Bart Baesens, Guest Editors
Paper Submission Deadline: June 20, 2008
Intended publication Date: 2009
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Date: Nov 26, 2007
From: Sven Koenig <[EMAIL PROTECTED]>
Subject: AAAI-08 Nectar
Call for Papers
AAAI-08 Nectar (New Scientific and Technical Advances in Research Program)
Chicago, Illinois, USA, July 13-17, 2008.
www.aaai.org/Conferences/AAAI/2008/aaai08nectar.php
Paper Submission Deadline: February 19, 2008
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Date: Nov 7, 2007
From: Mehran Sahami <[EMAIL PROTECTED]>
Subject: Artificial Intelligence and Mathematics
Call for Participation
10th International Symposium on Artificial Intelligence
and Mathematics (ISAIM 2008)
Fort Lauderdale, FLA, USA, January 2-4, 2008
http://isaim2008.unl.edu
Early Registration: December 20, 2007
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Date: Nov 27, 2007
From: [EMAIL PROTECTED]
Subject: IDEAL 2007
Call for Participation
8th International Conference on Intelligent Data
Engineering and Automated Learning (IDEAL'07)
Birmingham, United Kingdom, December 16-19 2007
http://events.cs.bham.ac.uk/ideal07/
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Date: Nov 7, 2007
From: Pranav Ashar <[EMAIL PROTECTED]>
Subject: Careers at NEC Labs in Princeton, NJ
Careers at NEC Labs, Princeton, New Jersey
* Research Staff Member
* Robust & Secure Systems - Autonomic System
Management Research
NEC Laboratories America (www.nec-labs.com)
is the US-based facility in NEC's global network
of research laboratories. The Robust and Secure
System Group at Princeton in New Jersey is seeking
several members to work in the area of autonomic
system management. The focus of the team is to create
innovative technologies to simplify and automate
the management of complex IT systems, fixed and mobile
networks, software and services.
For Research Staff Member(RSM) positions, candidates
must have a PhD degree in CS/CE with solid background
and research/publication record in related areas.
For Associated Research Staff Member(ARSM)
positions, candidates must have a MS degree in CS/CE
with solid software development skills and experience.
Candidates must be proactive in developing innovative
technologies and have a "can-do" attitude.
The group engages in foundational as well as applied
research in the following areas:
- Autonomic computing
- Distributed systems and networking
- Next generation data center
- IP network and service management
- Mobile network management
- Reliability, dependability and security
- QoS/QoE management and analysis
- Data mining and statistical learning
- Software reliability and testing
Expert-level skills in one or more of the above areas are
required. Knowledge of information theory, signal processing,
system and control theory is a plus.
For RSM consideration, please forward your resume and a research
statement to [EMAIL PROTECTED] with a reference "ASDS-RSM" in
the subject line. For ARSM positions, pls. include "ASDS-ARSM" in
the subject line.
http://www.nec-labs.com/careers/careers-p21.shtml
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Date: Nov 12, 2007
From: Hiroshi Mamitsuka <[EMAIL PROTECTED]>
Subject: Post-Doctoral Position in Bioinformatics
Post-Doctoral Position in Bioinformatics
Kyoto University, Japan
A post-doctoral position is available at Pathway
Engineering Laboratory of the Bioinformatics Center
at Kyoto University. This laboratory has developed
unique, cutting-edge data mining/machine learning
techniques for complex data in real world applications,
particularly molecular biology. A publication list
of the laboratory is at http://www.bic.kyoto-u.ac.jp
/pathway/publications.html. Along this line, the
laboratory seeks a candidate who will be engaged in
research on mining new knowledge from multiple data
sources in biology, especially those related with
genes and small chemical compounds.
The candidate should have a Ph.D. and solid technical
experience in a field in computer science or a similar
quantitative area of study, such as machine learning,
data mining, statistics, algorithmics, combinatorics,
and numerical computation. The applicant should be
enthusiastic and energetic in doing new research in
bioinformatics and should have sufficient programming
skills in C, C++ or Java.
The position is for one year but renewable by mutual
agreement, until as late as September 2010.
Kyoto University's Bioinformatics Center is situated
15 km south of downtown Kyoto and 40 km north of the
center of Nara, and is thus conveniently located near
Japan's two most famous historical cities.
The location is ideal to both enjoy Japan's traditional
beauty and to devote yourself to research in bioinformatics.
Please send your detailed curriculum vitae (including list
of publications, brief summary of your past work, and at
least three references) to:
Dr. Hiroshi Mamitsuka
Bioinformatics Center
Kyoto University
Email: mami at kuicr.kyoto-u.ac.jp
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Date: Nov 5, 2007
From: Christof Monz <[EMAIL PROTECTED]>
Subject: PhD Position in Statistical Machine Translation, London
The Department of Computer Science at Queen Mary,
University of London has a fully funded PhD position
in the area of Statistical Machine Translation.
The PhD position is in the MataHari project
(Machine Translation with Harvested Internet
Resources) which focuses on utilizing Internet
resources to learn statistical translation
models for translating from a number of foreign
languages into English. More information on the
MataHari project can be found at:
http://www.dcs.qmul.ac.uk/~christof/html/projects.html
The starting date of the PhD position is Spring 2008
or earlier.
The successful candidate will be based in the
information retrieval group. Queen Mary's
information retrieval group (http://ir.dcs.qmul.ac.uk)
is actively pursuing a variety of research
initiatives, covering areas such as cross-language
retrieval, machine translation, structured document
retrieval, natural language processing, and large-scale
probabilistic reasoning.
Applicants must have a strong background in Computing
Science and/or closely related areas. Appropriate
academic backgrounds include Computational Linguistics,
Engineering, Mathematics, Statistics, all with a strong
emphasis on Computing Science. A successful candidate
should:
* Have a good knowledge of programming in at least one
of the following languages: C, C++, Java, Python, or Perl.
* Enjoy working with large, real-world data sets
* Be interested in working on language-related research problems
Knowledge of any of the foreign languages addressed in
this project is not a requirement for this position.
The studentship includes the tuition fees and a tax-free
stipend of 14,600 GBP (approx. $30,100 or 20,900 EUR)
per year for three years, plus some travel funding to
attend international conferences.
The application deadline is December 17, 2007,
and applications received after that date may
not receive full consideration.
To be fully considered, the application must include:
(1) the filled out application form, which can be found at:
http://www.qmul.ac.uk/postgraduate/apply/docs/pg_07.doc (Word)
http://www.qmul.ac.uk/postgraduate/apply/docs/pg_07.pdf (PDF)
(2) a curriculum vitae indicating degrees obtained, disciplines
covered (e.g. list of courses), publications, and other relevant
experience.
(3) a one-to-two page statement of research interests, which should
indicate what you see are interesting research issues relating to
the project and what relevant experience you have.
(4) two letters of recommendation, which must be received before the
deadline. The two letters must be sent separately by regular mail
or by email to Sue White (see email and mail addresses below).
Electronic applications are encouraged and should be sent
by email to Sue White: [EMAIL PROTECTED]
In case an application can only be submitted by regular
post, it should be sent to:
Sue White
Department of Computer Science
Queen Mary, University of London
Mile End Road
E1 4NS London, UK
For informal inquiries please contact
Dr. Christof Monz (email: [EMAIL PROTECTED]).
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Date: Nov 13, 2006
From: Peter Dayan <[EMAIL PROTECTED]>
Subject: Gatsby Computational Neuroscience Unit
Gatsby Computational Neuroscience Unit
4 year PhD Programme
The Gatsby Unit is a world-class centre for
theoretical neuroscience and machine learning,
focusing on unsupervised, semi-supervised and
reinforcement learning, neural dynamics,
population coding, Bayesian and nonparametric
statistics and applications of these to the analysis
of perceptual processing, neural data, natural
language processing, machine vision and bioinformatics.
It provides a unique opportunity for a critical mass
of theoreticians to interact closely with each
other, and with other world-class research groups
in related departments at University College London,
including Anatomy, Computer Science, Functional
Imaging Laboratory, Physics, Physiology, Psychology,
Neurology, Ophthalmology and Statistics, with the
nascent cross-faculty Centre for Computational
Statistics and Machine Learning, and also with
other Universities, notably Cambridge.
The Unit always has openings for exceptional PhD
candidates. Applicants should have a strong analytical
background, a keen interest in neuroscience and/or
machine learning and a relevant first degree,
for example in Computer Science, Engineering, Mathematics,
Neuroscience, Physics, Psychology or Statistics.
The PhD programme lasts four years, including a first
year of intensive instruction in techniques and research
in theoretical neuroscience and machine learning.
It is described at http://www.gatsby.ucl.ac.uk/teaching/phd/
A number of competitive fully-funded studentships are
available each year (to students of any nationality)
and the Unit also welcomes students with pre-secured
funding or with other scholarship/studentship applications
in progress.
In the first instance, applicants are encouraged to
apply informally by sending, in pdf, plain text or
Word format, a CV, a statement of research interests,
and full contact details (including e-mail
addresses) for three academic referees to:
[EMAIL PROTECTED] General enquiries
should also be directed to this e-mail address.
For further details of research interests please
see: http://www.gatsby.ucl.ac.uk/research.html
Applications for 2007 entry (commencing late September 2007)
should be received no later than 14 January 2007.
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Date: Nov 24, 2007
From: Andras Kornai <[EMAIL PROTECTED]>
subject: Book: Mathematical Linguistics
Mathematical Linguistics
Series: Advanced Information and Knowledge Processing
Author: Kornai, Andras
http://www.springer.com/east/home/generic/search/results?
SGWID=5-40109-22-173743909-0
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End of ML-LIST Digest Vol 19, No. 7
