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Machine Learning List: Volume 21, Number 3
Wednesday, April 22, 2009
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Contents
Call for Site Proposal
ICML-2011
Call for Participation
Benelearn 09
Call for Papers
Indian International Conference on AI
Discovery Science 2009
Conference on Algorithmic Learning Theory
ML for Adaptivity in Spoken Dialogue Systems
Mining and Learning with Graphs and Relations
Regression in Robotics
Numerical Mathematics in Machine Learning
Neural Information Processing Systems
Automated Planning and Scheduling
Manifold Learning and its Applications
Reinforcement Learning for Autonomous Robot Systems
Metaheuristics for Large Scale Data Mining
Parallel and Distributed Evolutionary Algorithms
ICAPS Workshop Papers
NIPS Workshop Proposals
Career Opportunities
Complex Adaptive Systems Research Supervisor, Johns Hopkins, MD
Nature Source Genetics, Inc, Ithaca, NY
Post-Doctoral Research
Machine Learning and Statistics Genetics, CMU, PA
Machine Learning at Yahoo! Research Barcelona
Machine Learning/Bioinformatics, USC, CA
Ph.D. Studentship
NLP and Visualization. Stuggart, Germany
Summer School
NN in Classification, Regression and Data Mining
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The Machine Learning List is moderated. Contributions should be relevant
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to meet these criteria.
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Date: Apr 19, 2009
From: Raymond Mooney <moo...@cs.utexas.edu>
Subject: ICML-2011
Call for Site Proposal
International Conference on Machine Learning 2011
The purpose of this call is to invite groups interested in
hosting the conference to submit proposals. Since ICML
2010 will be in Haifa, Israel, proposals are requested for venues in
N. America for 2011.
Proposals should address the following issues:
1. Proposed Dates. The conference should be scheduled for four days
(one day reserved for workshops and tutorials; three days for paper
sessions, poster sessions, and invited talks). The conference
prefers dates in the range from June 15 to July 15, but other dates
will be considered, particularly if they permit co-location with
other conferences.
2. Locale Parameters.
- Accessibility. Is it easy and inexpensive for people (especially
graduate students) to travel to the conference site? (Compute
mean airfares from Europe, North America, and Asia. Include ground
transportation from relevant airports to the site.)
- Meeting Rooms, AV Equipment, etc. What are the physical
facilities like? Consider rooms for plenary sessions, parallel
sessions, workshops, tutorials, and poster sessions. Is there
highly visible space for sponsors and publishers who want to set
up displays? What are the charges, if any, for using the various
rooms/locations?
- Meals and Lodging. Is there low-cost, quality housing available
for attendees (especially graduate students)? How far from the
meeting rooms? Where will attendees eat? Please estimate costs
for meals and lodging.
- Demo facilities. Will there be computing equipment and space
available to support demos?
- Internet access. Is wired or wireless internet access available?
At what cost?
- Other features. You may mention any other aspects of the site or
the region that are relevant.
3. Local Machine Learning Community. Is there a local ML
group/community that can help with organization and funding?
4. Opportunities to co-locate with other conferences. In the past, we
have co-located with COLT, UAI, and KDD. There is strong interest
in co-locating with these conferences and also with other
conferences including ISMB (Intelligent Systems in Molecular
Biology), EMNLP (Empirical Methods in Natural Language
Processing), CoNLL (Conference on Natural Language Learning), IUI
(Intelligent User Interfaces), and CVPR (Computer Vision and
Pattern Recognition).
5. Organizational and Institutional Support. Is there a conference
office that can help with local arrangements?
6. Budgetary Issues. Is any financial support available from the
hosting institution and/or local industry? What is a rough estimate
of the expected conference registration fees (including a student
rate)?
Proposal Deadline: May 25, 2009
Send Proposal to:
Raymond J. Mooney, President IMLS
moo...@cs.utexas.edu
Proposals will be ranked according to cost and accessibility, proposed
dates, opportunities for co-location, attractiveness of the location,
and experience of the host group.
Note that IMLS chooses the Program Chair and General Chair as a
decision separate from the choice of the site. The site proposal
should propose a Local Arrangements Chair and other relevant
supporting positions (e.g., Volunteers Coordinator, Registration
Chair).
-------------------------------------------------------------------------
Date: Apr 17, 2009
From: Marieke van Erp <m.g.j.van...@uvt.nl>
Subject: Benelearn 09
Call for Participation
18th Annual Belgian-Dutch Conference
on Machine Learning (Benelearn 09)
Tilburgh, The Netherlands, May 18-19, 2009009
http://benelearn09.uvt.nl/
Early Registration Deadline: May 10, 2009
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From: Ed <jeedw...@yahoo.com>
Date: Mar 1, 2009
subject: Indian International Conference on AI
Call for Papers
4th Indian International Conference on
Artificial Intelligence (IICAI-09)
Tumkur, India, December 16-18 2009
http://www.iiconference.org
Paper Submission Deadline: April 17, 2009
Camera-ready Deadline: July 6, 2009
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From: Pedro Pereira Rodrigues <pprodrig...@liaad.up.pt>
Date: Mar 2, 2009
Subject: Discovery Science 2009
Call for Papers
Discovery Science 2009
Porto, Portugal, October 3-5, 2009
http://ds09.liaad.up.pt/
Abstract Submission Deadline: May 3, 2009
Paper Submission Deadline: May 10, 2009
Camera-ready Deadline: July 10, 2009
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From: Sandra Zilles <zil...@cs.ualberta.ca>
Date: Mar 5, 2009
Subject: Conference on Algorithmic Learning Theory
Call for Papers
20th International Conference on Algorithmic Learning Theory (ALT 2009)
Porto, Portugal, October 3-5, 2009
http://www-alg.ist.hokudai.ac.jp/~thomas/ALT09/alt09.jhtml
Paper Submission Deadline: May 10, 2009
Camera-ready Deadline: July 10, 2009
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From: Olivier Pietquin <olivier.pietq...@supelec.fr>
Date: Mar 9, 2009
Subject: ML for Adaptivity in Spoken Dialogue Systems
Call for papers
Special Session "Machine Learning for Adaptivity in
Spoken Dialogue Systems" at Interspeech 2009
Brighton, United Kingdom, September 6-10, 2009
http://www.interspeech2009.org/
Paper Submission Deadline: April 17, 2009
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From: S V N Vishwanathan <vi...@stat.purdue.edu>
Date: Mar 16, 2009
Subject: Mining and Learning with Graphs and Relations
Call for Papers
Machine Learning Journal special issue on
Mining and Learning with Graphs and Relations
Guest Editors:
S V N Vishwanathan - Purdue University
Samuel Kaski - Helsinki University of Technology
Jennifer Neville - Purdue University
Stefan Wrobel - Fraunhofer Institute for Intelligent
Analysis and Information Systems / University of Bonn
Paper Submission Deadline: June 1, 2009
Revised manuscripts: October 2, 2009
https://cmt.research.microsoft.com/LMGSI
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From: Jo-Anne Ting <jt...@ed.ac.uk>
Date: Mar 19, 2009
Subject: Regression in Robotics
Call for Contributions
Workshop on Regression in Robotics-Approaches and Applications
Co-located with Robotics: Science & Systems
Seattle, WA, USA, June 28, 2009
http://www.robreg.org
Paper Submission Deadline: April 24, 2009
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From: Matthias Seeger <msee...@gmail.com>
Date: Mar 31, 2009
Subject: Numerical Mathematics in Machine Learning
Call for Contributions
International Conference on Machine Learning (ICML)
Workshop on Numerical Mathematics in Machine Learning
Montreal, Canada, June 18, 2009
http://numml.kyb.tuebingen.mpg.de
Abstract Submission Deadline: April 27, 2009
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From: Chris Hiestand <chiest...@salk.edu>
Date: Mar 31, 2009
Subject: Neural Information Processing Systems
Preliminary Call for Papers
23rd Annual Conference on Neural Information Processing Systems
Vancouver, B.C., Canada, December 7-12, 2009
http://nips.cc/
Paper Submission Deadline: June 5, 2009 4:59pm PDT
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From: Fernando Fernandez Rebollo <ffern...@inf.uc3m.es>
Date: Apr 1, 2009
Subject: Automated Planning and Scheduling
Final Call for Papers
19th International Conference on Automated Planning
and Scheduling (ICAPS-2009)
Thessaloniki, Greece, September 19-23, 2009
http://icaps09.uom.gr
Abstract Submission Deadline: April 17, 2009
Paper Submission Deadline: April 22, 2009
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From: Jerry Zhu <jerry...@cs.wisc.edu>
Date: Apr 1, 2009
Subject: Manifold Learning and its Applications
Call for Papers
AAAI 2009 Fall Symposium on Manifold Learning
and its Applications
Arlington, VA, USA, September 5-7, 2009
http://odin.uncc.edu/aaai-manifold
Paper Submission Deadline: May 15, 2009
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From: Nils T Siebel <n...@erlars.org>
Date: Apr 4, 2009
Subject: Reinforcement Learning for Autonomous Robot Systems
Call for Papers
2nd International Workshop on Evolutionary
and Reinforcement Learning for Autonomous
Robot Systems
Held in conjunction with RSS 2009
Seattle, WA, USA, June 19, 2009
http://www.erlars.org/
Paper Submission Deadline: May 1, 2009
-------------------------------------------------------------------------
Jaume Bacardit <j...@cs.nott.ac.uk>
Date: Apr 7, 2009
Subject: Metaheuristics for Large Scale Data Mining
Call for Papers
Memetic Computing Journal special issue on
Metaheuristics for Large Scale Data Mining
http://www.springer.com/engineering/journal/12293?details
Page=contentItemPage&CIPageCounter=151543
Guest editors:
Jaume Bacardit - University of Nottingham, UK
Xavier Llora - University of Illinois at Urbana-Champaign, IL
Paper Submission Deadline: May 31, 2009
Camera-ready Deadline: September 30, 2009
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From: Vanneschi Leonardo <lvann...@disco.unimib.it>
Date: Apr 8, 2009
Subject: Parallel and Distributed Evolutionary Algorithms
Call for Papers
Genetic Programming and Evolvable Machine journal
Special Issue on Parallel and Distributed Evolutionary
Algorithms
http://www.springer.com/computer/artificial/journal/10710
Paper Submission Deadline: April 30, 2009
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Date: Apr 16, 2009
From: Fernando Fernandez Rebollo <ffern...@inf.uc3m.es>
Subject: ICAPS Workshop papers
Call for Papers
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 23, 2009 PDT
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Date: Apr 16, 2009
From: Chris Hiestand <chiest...@salk.edu>
Subject: NIPS Workshops Proposals
Call for Workshop Proposals
Neural Information Processing Systems (NIPS)
Whistler, BC, Canada, December 11 and 12, 2009
http://nips.cc/
Proposal Submission Deadline: July 17, 2009
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Date: Apr 12, 2009
From: Steve Tanksley <s...@naturesourcegenetics.com>
Subject: Nature Source Genetics, Inc, Ithaca, NY
Position in Computational and Statistical Research
Nature Source Genetics (http://naturesourcegenetics.com)
is a computational genomics company dedicated to the
development and application of new algorithms designed to
harness natural genetic variation in the improvement of plant
and animal species. Located in Ithaca, New York, NSG
scientists interact with a team of distinguished faculty
from Cornell University and other major research institutions
worldwide in problems related to genetics and genomics. The
person hired for this position will work with and support a
team of scientists working in the areas of computer science,
operations research, statistics, databases, software engineering,
quantitative/population genetics and breeding.
http://naturesourcegenetics.com/index.php?page=careers&;
-------------------------------------------------------------------------
From: Dennis Lucarelli <dennis.lucare...@jhuapl.edu>
Date: Mar 3, 2009
Subject: Complex Adaptive Systems Research Supervisor, Johns Hopkins, MD
The Johns Hopkins Applied Physics Laboratory (APL),
a national leader in scientific research and development,
located midway between Baltimore and Washington, DC is
seeking a Complex Adaptive Systems Research Section Supervisor.
Responsibilities:
Lead a section of applied researchers in the area of Complex
Adaptive Systems. This individual will be responsible for
planning and coordinating individual research agendas to meet
overall strategic goals of the Research Center as part of the
Systems and Information Sciences group management team. Maintain
a strong personal research agenda, with national and international
visibility, building upon at least one area of current group strength
in machine learning, probabilistic modeling and inference, decision
theory, or planning/control.
Qualifications:
Required: Ph.D. in EE, CS, or Mathematics with specialization in
pattern classification, machine learning, probabilistic modeling
and inference, decision theory, or adaptive control. Strong
record of research in area of specialization: significant
publication record and professional reputation. Experience in
management of small, highly capable research teams. Successful
grant or project proposal experience. Excellent communication and
interpersonal skills. Desired: Experience in program/business
development. Leadership in relevant professional society.
Strong IP product history. Experience in mentoring and development
of early career researchers. Experience in strategic technology
planning.
Eligibility requirements include US citizenship.
For more information go to: http://www.jhuapl.edu/employment/
and perform an Advanced Search with Job Opening ID: 70370 or
send email to dennis.lucare...@jhuapl.edu.
-------------------------------------------------------------------------
From: Eric Xing <epx...@imap.srv.cs.cmu.edu>
Date: Mar 6, 2009
Subject: Machine Learning and Statistics Genetics, CMU, PA
We have recently secured funds for 2 postdoc positions at CMU.
The first position is on developing statistical machine learning
models and algorithms for "dynamic topic models and perspective
models for structured browsing of large corpus of text/image/
video/network data", funded by NSF and a CMU internal grant
promoting development of potentially commercialzable AI/ML/Stats
methodologies and systems.
The second position is on developing new methodologies and
theories for sparse structured input/output learning, in
the context of "Genome-Transcription-Phenome-Wide Associations
in complex diseases"; and at the same time performing empirical
systems biology and genetic analysis on SNP, microarray, and
complex phenotype data. This project is funded by a new NIH grant.
More details of the projects are available at
http://www.cs.cmu.edu/~epxing/research2009.html
and we encourage incoming postdocs to also explore other projects
listed in this page, and initiate new projects.
The ideal candidates should have a strong track record of research
in machine learning, NLP, IR, statistics, and statistical genetics,
evidenced by high quality publications; be able to communicate and
work with collaborating student/postdocs and external PIs; and be
able to carry out research and develop ideas independently. Good
programming skill and solid statistics/math background are highly
desirable.
Each position is expected to be a two-year position (one year
initial contract + 1 year performance-based renewal), with generous
salary and travel support.
To formally apply, please send CV, research statement, and 2 letters
of recommendations to both
Michelle Martin (mhayw...@cs.cmu.edu)
Eric Xing (epx...@cs.cmu.edu)
I'd also be happy to respond to informal inquiries directly addressed
to me.
Eric Xing
-------------------------------------------------------------------------
From: Hugo Zaragoza <hu...@yahoo-inc.com>
Date: Mar 16, 2009
Subject: Machine Learning Yahoo! Research Barcelona
Yahoo! Research offers a new Postdoctoral Fellow
position in Barcelona (Spain) in the area of machine
learning. This position is for one year, and can be
extended to another year depending upon a good
evaluation. The starting date is flexible, but we are
interested in filling the position as soon as possible.
We provide an exciting environment with research
groups working on various different areas, including
web mining, parallel and distributed computing, information
retrieval, natural language processing, and multimedia.
Researchers in this position will have a chance to perform
academic work, such as working on conference and journal
publications, and to interact with engineering groups inside
Yahoo! US, thus being exposed to problems of real systems.
For this call, we seek to hire specifically researchers interested
in the development and application of machine learning algorithms
to problems in Web search and Web mining. Please find more
detail below.
Qualifications:
*PhD degree in computer science, electrical engineering,
mathematics, or equivalent field;
* Research experience and familiarity with the literature.
Internship in an industrial lab is a plus;
* Ability to generate new ideas, to innovate, and to work on
projects spanning different areas of computer science;
* Strong publication record;
* Good programming skills.
Specific knowledge areas (one or more):
* Statistical and/or Probabilistic learning theory
* Application of machine learning to large scale
ranking problems (ad-hoc search, filtering, summarization)
* Application of machine learning to large scale data
analysis (unsupervised learning, clustering, etc.)
* Semi-supervised learning, Structural/Relational learning
* Efficiency and implementation issues in machine learning
To apply, please send your resume to:
research-jobs-eur...@yahoo-inc.com
Arrange to have three letters of reference sent electronically
to this same e-mail address. Please specify the position
you are applying for in your application. For any further
inquiries, send messages to:
research-jobs-eur...@yahoo-inc.com
-------------------------------------------------------------------------
From: Xianghong Jasmine Zhou <xjz...@college.usc.edu>
Date: Apr 2, 2009
Subject: Machine Learning/Bioinformatics at 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,
protein interaction data, and time-series 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 or Data Mining with
excellent publication record
* Bioinformatics experiences preferred
Please send CV and two contact addresses of references to:
Prof. Jasmine Zhou xjz...@usc.edu.
-------------------------------------------------------------------------
From: Hinrich Schuetze <hinr...@hotmail.com>
Date: Apr 8, 2009
Subject: NLP and Visualization, Stuggert, Germany
3 PhD positions in Natural Language Processing
and Visualization Institute for Natural Language
Processing, University of Stuttgart and Computer
Science Department, University of Stuttgart
The Institute for Natural Language Processing (IfNLP)
and the Computer Science Department of the University
of Stuttgart, Germany, invite applications for three PhD
positions.
IfNLP is one of the leading NLP research institutions
worldwide with four professors in different areas of NLP, a
research staff of 40 and an undergraduate program in NLP.
We offer the opportunity to work on cutting-edge research
projects in a dynamic and international research team and
up-to-date infrastructure and resources.
3 PhD positions are available immediately in two different
projects funded by Deutsche Forschungsgemeinschaft.
Semisupervised Annotation Resolution
2 PhD positions
Supervisors: Gunther Heidemann
Hans Kamp
Hinrich Schuetze
This project will develop interactive visualization methods
for the semi-supervised annotation of large amounts of
training data for statistical co reference resolution.
Interactive Visual Analysis of Complex Information Spaces
1 PhD position
Supervisor: Prof. Hinrich Schuetze
This project will integrate statistical NLP and
user-tailored interactive visual exploration methods and
apply them to the analysis of patents.
Candidates should have an excellent university degree in a
relevant field of study such as computational linguistics or
computer science.
To apply, send your CV in PDF format to sabine (at)
ims.uni-stuttgart.de by May 15, 2009. Please use the
subject line "PhD positions". You should also provide two
references.
The University of Stuttgart is committed to increasing the
proportion of women in research and teaching. Qualified
women are encouraged to apply.
-------------------------------------------------------------------------
From: alexandra <a...@fe.up.pt>
Date: Feb 20, 2009
Subject: NN in Classification, Regression, and Data Mining
Summer School NN2009
Neural Networks in Classification, Regression and Data Mining
Porto, Portugal, July 6-10, 2009
http://www.nn.isep.ipp.pt
Early Registration: May 18, 2009
Poster Submission Deadline: June 15, 2009
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End of ML-LIST Digest Vol 21, No. 3
