Machine Learning List
Sat, 19 Jul 2003 10:38:30 -0700
Machine Learning List: Vol. 15, No. 12
Saturday, July 19, 2003
Contents
Calls for Papers
CFP: AI+MATH 04
WSCG'2004 Conference
ECAI 2004 First Announcement
Machine Learning Reductions Workshop
EvoIASP2004: CALL FOR PAPERS
CFP: ICDM Workshop on Data Mining for Computer Security (DMSEC03)
4th Intl. Workshop on Computational Logic in Multi-Agent Systems
Career Opportunities
postdoc opportunities at Johns Hopkins
Research Software Developer with Ornarose, Inc.
Sr. machine learning scientist
postdoc position
Miscellany
Publication of the first book on Gene Expression Programming
Stipends for MSc Intelligent Systems
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 and 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: George Katsirelos <[EMAIL PROTECTED]>
Subject: CFP: AI+MATH 04
Date: Mon, 7 Jul 2003 17:27:17 -0400
CALL FOR PAPERS
Eighth International Symposium on
ARTIFICIAL INTELLIGENCE AND MATHEMATICS
January 4-6, 2004, Fort Lauderdale, Florida
http://rutcor.rutgers.edu/~amai
Paper submission deadline: October 3, 2003
APPROACH OF THE SYMPOSIUM: The International Symposium on Artificial
Intelligence and Mathematics is the eighth of a biennial series. The
series was started by Martin Golumbic and the editorial board of the
Annals of Mathematics and Artificial Intelligence serves as the
permanent Advisory Committee. The objective of the Symposium is to
foster interactions between mathematics, theoretical CS, and
artificial intelligence. Traditionally, the Symposium attracts around
100 participants from a variety of disciplines, thereby providing a
unique forum for active scientific exchange. The Symposium includes
invited speakers, special topic sessions, and presentations of
submitted papers.
INVITED SPEAKERS:
Robert Bixby, ILOG Inc.
Ronen Brafman, Ben-Gurion University, Israel
An additional speaker to be announced at a later date
SPECIAL TOPIC SESSIONS:
Preferences
Organizer: Ronen Brafman, Ben-Gurion University, Israel
Portfolio Design for Combinatorial Problems
Organizers: Carla Gomes, Bart Selman, Cornell, USA
Artificial Intelligence and Game Theory
Organizers: Kevin Leyton-Brown, Stanford, USA
Moshe Tennenholtz, Technion, Israel
PAPER SUBMISSION: Authors must email either Adobe PDF (pdf) or
Postscript (ps) files of their extended abstracts (up to 8 pages, 12pt
font, single column format) to [EMAIL PROTECTED] to be received by
October 3, 2003. Authors will be notified of acceptance or rejection
by November 3, 2003. Final versions of accepted extended abstracts,
for inclusion in the conference volume, are due by November 28,
2003. Full versions of a selected set of papers from the Symposium
will be published in a special volume in the Annals of Mathematics and
Artificial Intelligence, J.C. Baltzer Scientific Publishing Co.
SPONSORS: The Symposium is partially supported by the Annals of Math
and AI and Florida Atlantic University.
ORGANIZERS:
General Chair: Martin Golumbic, University of Haifa, Israel
Conference Chair: Frederick Hoffman, Florida Atlantic University, USA
Program Co-Chairs: Fahiem Bacchus, University of Toronto, Canada
Peter van Beek, University of Waterloo, Canada
Publicity Chair: George Katsirelos, University of Toronto, Canada
For further information, see http://rutcor.rutgers.edu/~amai
------------------------------
From: "Vaclav Skala" <[EMAIL PROTECTED]>
Subject: WSCG'2004 Conference - Call for Papers - Plzen, Prague, Czech Rep.
Date: Fri, 11 Jul 2003 16:21:38 +0200
W S C G ' 2004
http://wscg.zcu.cz
February 2 - 6, 2004
http://wscg.zcu.cz
(formerly the Winter School of Computer Graphics)
The 12-th International Conference in Central Europe on Computer
Graphics, Visualization and Computer Vision 2004 at the University of
West Bohemia, Plzen, close to Prague - the Golden European City Czech
Republic
Honorary Chair:
Tosiyasu L. Kunii, University of Hosei, Tokyo, Japan
Conference Co-Chairs
Roberto Scopigno, ISTI - CNR, Pisa, Italy
Vaclav Skala, University of West Bohemia, Czech Republic
Keynote speakers: Agreements pending
Deadline for uploading files: October 9, 2003 24:00 GMT (London time)
Accepted papers and posters will be published in proceedings with ISBN
Selected full papers will be published in The Journal of WSCG
Vol. 12. No 1-3, ISSN 1213-6972
Post-conference IEEE proceedings with extended papers are expected to
be published.
Information for authors
* Deadline for contributions changed: October 9, 2003 24:00 GMT (London
time)
* Format A4 (strictly), max. 8 pages, additional material up to 5 MB
(video as MPEG, AVI and similar files, color plates etc. can be
submitted, please, no video tapes)
Topics included
* Computer graphics and scientific visualization,
* computer vision, image processing and pattern recognition,
* fundamental algorithms and computational geometry,
* graphical human computer interface and graphical interaction,
* geometric modeling and computer aided geometric design,
* rendering and virtual reality,
* animation and multimedia, medical imaging,
* object oriented graphics, WWW technologies,
* parallel and distributed graphics, CAD/CAM, DTP systems
* GIS systems and Geoinformatics,
* applications and related fields.
The International Program Committee and Reviewing Board members review
all papers peer-to-peer carefully and anonymously.
Proceedings are indexed/abstracted in: ISI, Inspec (IEE) and others
Unique opportunity
- to visit the Golden City - PRAGUE
- to taste the best beer all over the world - Pilsner Urquell
- to take a part at the event, where West and East meet
Organizer and conference secretariat
Prof.Vaclav Skala http://wscg.zcu.cz
c/o Computer Science Department
University of West Bohemia, Univerzitni 8, Box 314, 306 14 Plzen,
Czech Republic
e-mail: [EMAIL PROTECTED] Subject: INFO WSCG 2004
Tel./fax: +420-37-763-2457
For details, please see http://wscg.zcu.cz select WSCG'2004
------------------------------
From: Lorenza Saitta <[EMAIL PROTECTED]>
Subject: ECAI 2004 First Announcement
Date: Tue, 15 Jul 2003 16:01:01 +0200
First Announcement
ECAI 2004
16th European Conference on Artificial Intelligence
Valencia (Spain), August 22-27th, 2004
General Information
The 16th European Conference on Artificial Intelligence (ECAI 2004)
will be held in Valencia, Spain, on August 22 through 27, 2004. The
conference will be hosted by the Departamento de Sistemas Informaticos
y Computacion (DSIC) of the Universidad Politecnica de Valencia.
ECAI is the more and more becoming a key reference point for assessing
a worldwide State-of-the-Art in Artificial Intelligence. The
conference brings together researchers from academy, software
developers and users from industry and public organizations, offering
them invaluable occasions to meet and exchange ideas, thus
contributing to making real the upcoming Information Society.
Along with refereed paper presentations and invited talks by
prestigious speakers, the conference will offer, on August 22 through
24, 2004, workshops and tutorials on most advanced topics.
Following an established tradition, the Conference on Prestigious
Applications of Intelligent Systems (PAIS 2004) will run in parallel
with ECAI. Its aim is to give an overview of the most significant
real-world applications of Artificial Intelligence. The Programme
Committee Chairman of PAIS 2004 is Padraig Cunningham
([EMAIL PROTECTED])
For the second time, after the success at ECAI 2002, ECAI 2004 will
also co-locate the Second STarting AI Researchers Symposium (STAIRS
2004), which aims to bring together doctoral students and young
post-doctoral AI researchers, giving them a real opportunity for
cross-fertilization between the experience of established leaders and
the learning desire of the next generation. The STAIRS 2004 Program
Committee co-chairs are Eva Onaindia ([EMAIL PROTECTED]) and
Steffen Staab ([EMAIL PROTECTED])
Paper Submission
Submissions of substantial, original and previously unpublished work
are invited in all areas of Artificial Intelligence. Submission is a
two-stage process. Authors are asked to submit to the ECAI 2004
Program Chair (see below) a brief summary of their paper by Friday,
February 13, 2004, followed by their full paper by Wednesday, February
18, 2004 (23:59 CET). The strongly preferred submission method for
summaries is to use the web-based summary submission form. Submitted
summaries will be assigned a unique tracking number that should be
marked on the full paper submission. Authors without access to the web
should send a summary including the title, authors, contact address
and abstract of the paper (maximum 200 words), plus keywords to the
ECAI 2004 Program Chair, Lorenza Saitta (by e-mail or postal mail, see
addresses below). The summary information and the tracking number
should also be included with the paper itself, on a separate sheet of
paper. Authors not able to use the web-based submission form may omit
the tracking number. The strongly preferred submission method for
full papers is electronically, by e-mail. Only PDF files will be
accepted. Submissions in hardcopy may also be made if electronic
submission is problematic for the authors. In that case, six copies
of the paper (each including the summary sheet) should be sent by
postal mail or courier service to the ECAI 2004 Program Chair, Lorenza
Saitta. The deadline for receipt of papers is 18 February 2004 (23:59
CET) for both electronic and hardcopy submissions. Papers received
after this date will not be reviewed. Notification of receipt of full
papers will be mailed to the corresponding author soon after receipt.
The papers will undergo an anonymous reviewing process. Notification
to the authors is expected to start on May 2, 2004.
ECAI 2004 will not accept any paper which at the time of submission is
under review for, or has already been published or accepted for
publication in a journal or another conference. Authors are also
expected not to submit their papers elsewhere during the review
period. These restrictions only apply to journals and conferences and
not to workshops or similar specialised meetings with limited
audiences. The title page should include a statement that "this paper
is not under review or accepted for publication in another conference
or journal".
It is highly recommended to submit papers using the final camera-ready
formatting style, except that author names should be omitted, and
replaced by the tracking number. Submissions must not exceed five
pages in camera-ready format. Submissions of unformatted papers are
limited to 6000 words including footnotes, figure captions, tables,
appendices, and bibliography. Each half-page of figures will be
counted as 600 words. Overlengthy submissions will be rejected without
review. Authors submitting unformatted papers must include a word
count on their paper. Guidelines on the format of submissions will be
available on the ECAI 2004 web page soon. Final versions of accepted
papers will be required to conform strictly to the formatting
requirements specified in the ECAI 2004 Style Guide. Each accepted
paper will be allocated five pages in the proceedings. The proceedings
will be published by IOS Press on paper and as a CD-ROM. The deadline
for receipt of the camera-ready copy is May 31, 2004. At least one
author of each accepted paper is required to attend the conference to
present the paper.
As ECAI 2004 includes PAIS 2004 as a subconference, paper submission
dates and procedures for PAIS are the same as for ECAI; please, do not
submit papers directly to the Program Chair of PAIS. As papers
submitted to PAIS shall undergo a separate review process handled by
the Program Committee of PAIS, authors should clearly mark in the
title page that it is a PAIS submission.
Submission of Workshop and Tutorial propoals
Proposals submission for Workshops (deadline: November 1, 2003) and
Tutorials (deadline: December 1, 2003) should be sent electronically
(PDF files) to the respective Chair Persons.
All the details of the submission process will appear in the Conference
Web pages at URL: http://www.dsic.upv.es/ecai2004/
For further inquiries about ECAI or PAIS, please contact:
[EMAIL PROTECTED]
For further inquiries about STAIRS, please contact:
[EMAIL PROTECTED]
Important Dates:
Paper abstract submission : 13 February 2004
Full paper submission : 18 February 2004
Notification of acceptance : 2 May 2004
Final paper due : 31 May 2004
Workshop proposals : 1st November 2003
Tutorial proposals : 1st December 2003
For further information, please see http://www.dsic.upv.es/ecai2004/
------------------------------
From: John Langford <[EMAIL PROTECTED]>
Subject: Machine Learning Reductions Workshop
Date: Tue, 15 Jul 2003 20:50:35 -0400
Date: September 11 & 12, 2003
Location: TTI-Chicago
University of Chicago Campus
Chicago, Illinois
URL: http://www.tti-c.org/workshop/machine_learning_reductions.html
Topic:
Reductions, are constructs allowing us to transfer theory, algorithms,
and expertise from one machine learning problem to another
problem. From a theoretical point of view, reductions are particularly
interesting because it appears that they often end up working well in
practice. (and Risi notes: From a practical point of view, reductions
are particularly interesting because it appears that they often end up
working well in theory.)
Examples of practical reductions include:
1. Boosting (Strong classification with weak classification).
2. Error Correcting Output Codes (multiclass classification with
binary classification).
3. Various reductions of reinforcement learning to regression,
classification, etc...
4. Canonical reductions of classification to density estimation
from statistics.
We are, of course, interested in reductions in a wider sense than just
these examples. Obvious questions to address are:
1. What empirical evidence do we have for and against reductions?
2. How can we differentiate between "good" reductions and "bad"
reductions?
3. Can we understand the difficulty of learning problems by their
placement in a reduction hierarchy?
4. What is a mapping of available reductions?
5. What learning problems are unrelated by reduction?
6. What reduction are not possible?
A focused workshop involving those who have worked on reductions might
be very fruitful in addressing these questions and laying the
groundwork for a coherent direction of research.
Funding:
TTI-Chicago has funds to cover costs up to $800 each for up to 20
people. The 20 will be allocated first-come-first-serve.
Plan:
Send [EMAIL PROTECTED] a title and abstract (and papers if possible) if
interested in attending.
Expect a preliminary schedule about August 3.
------------------------------
From: Stefano Cagnoni <[EMAIL PROTECTED]>
Subject: EvoIASP2004: CALL FOR PAPERS
Date: Wed, 16 Jul 2003 19:55:28 +0200
CALL FOR PAPERS
EVOIASP2004
Sixth European Workshop on Evolutionary Computation in Image Analysis
and Signal Processing
Coimbra, Portugal, 5 April 2004
Evolutionary algorithms have been shown to be tools which can be used
effectively in the development of systems (software or hardware) for
image analysis and signal processing in complex domains of high
industrial and social relevance.
EvoIASP is the first European event specifically dedicated to the
applications of evolutionary computation (EC) to image analysis and
signal processing (IASP) and gives European and non-European
researchers in those fields, as well as people from industry, an
opportunity to present their latest research and to discuss current
developments and applications, besides fostering closer future
interaction between members of the three scientific communities.
The previous editions of the Workshop were held in Göaut;teborg,
Sweden (1999), Edinburgh, UK (2000), Como, Italy (2001), Kinsale,
Ireland (2002), and Colchester, UK (2003).
The workshop is sponsored by EvoNet, the Network of Excellence in
Evolutionary Computing, and is one of the activities of EvoIASP, the
EvoNet working group on Evolutionary Computation for Image Analysis
and Signal Processing. It will be part of EvoWorkshops2004 and will be
held in conjunction with EuroGP2004, the European Conference on
Genetic Programming, and EvoCOP2004, the 4th European Conference on
Evolutionary Computation in Combinatorial Optimization.
Topics of interest include, but are not limited to:
applications of evolutionary computation to real-life IASP problems,
evolvable vision and signal processing hardware,
evolutionary pattern recognition,
hybrid architectures for machine vision and signal processing
including evolutionary components,
theoretical developments,
comparisons between different evolutionary techniques and between
evolutionary and non-evolutionary techniques in IASP applications,
time series analysis by means of EC techniques.
Submissions
Send your manuscript, at most 10 A4 pages long, in Springer LNCS
format (instructions downloadable from
http://www.springer.de/comp/lncs/instruct/typeinst.pdf) to the
programme chair, Stefano Cagnoni, in gzipped PostScript or pdf
format by email no later than November 14, 2003. The papers will be
peer reviewed by at least two members of the program committee.
Authors will be notified via email on the results of the review by
December 19, 2003.
The authors of accepted papers will have to improve their paper on
the basis of the reviewers' comments and will be asked to send a
camera ready version of their manuscripts, along with text sources
and pictures, by January 16, 2003. The accepted papers will appear
in the workshop proceedings, published in Springer LNCS Series,
which will be available at the workshop.
Important Dates:
Submission deadline: 14 November 2003
Notification of acceptance: 19 December 2003
Camera ready papers due: 16 January 2004
Workshop: 5 April 2004
For more details, see:
http://evonet.dcs.napier.ac.uk/eurogp2004/evoiasp
------------------------------
From: Philip Chan <[EMAIL PROTECTED]>
Subject: CFP: ICDM Workshop on Data Mining for Computer Security (DMSEC03)
Date: Thu, 17 Jul 2003 15:39:07 -0400 (EDT)
CALL FOR PAPERS
Workshop on Data Mining for Computer Security (DMSEC03)
(at IEEE ICDM03)
www.cs.fit.edu/~pkc/dmsec03/
November 19, 2003
Melbourne, Florida, USA
Computer security is a broad field that encompasses issues both
theoretical and practical aspects. It is of incredible importance to a
wide variety of practical domains ranging from the banking industry to
multi-national corporations, from space exploration to the
intelligence community and so on. Of interest to this workshop are
methods that address two aspects of computer security. The first
relates to how computers can be used to secure the information
contained within an organizations. Issues of critical importance here
could include the detection and/or prevention of unauthorized access
or attacks on computers and networks local to an organization or
entity. The second relates to how computers can be used to detect
hostile activity (surveillance) in a sensitive area (such as in an
airport). It is likely that such techniques will require data mining
techniques that work hand-in-hand with state-of-the-art computer
vision techniques.
The workshop seeks papers relating to this topic. Sample topics could
be from among (clearly not limited to only these):
* Novel intrusion detection systems (e.g. signature/anomaly based)
* Secure methods towards intrusion prevention and information
assurance
* Novel architectures for intrusion detection systems
* Systems support for intrusion detection/prevention automated
surveillance
* Surveillance centric data mining
* Novel applications of existing intrusion detection methods
* Practical experiences with real-life security problems
* Resource-centric (network,application,operating system) computer
security
* Theoretical methods relevant to intrusion detection and security
problems (e.g. dealing with skew, noise, correlating multiple
models, feature construction and selection, impact of sampling).
* Distributed and scalable online methods for computer security
IMPORTANT DATES
* Paper Submissions due: August 22, 2003 by 8AM EST.
* Notification to authors: September 30, 2003.
* Final papers due: October 15, 2003.
* Workshop Date: Nov. 19 2003.
WORKSHOP CO-CHAIRS
* Philip Chan, Florida Tech
* Vipin Kumar, U. of Minnesota
* Wenke Lee, Georgia Tech
* Srinivasan Parthasarathy, Ohio State U.
SUBMISSION AND OTHER INFORMATION
For more details on paper submission and other information, please
visit the workshop webpage at:
www.cs.fit.edu/~pkc/dmsec03/
------------------------------
From: <[EMAIL PROTECTED]>
Subject: 4th Intl. Workshop on Computational Logic in Multi-Agent Systems
Date: Fri, 11 Jul 2003 14:27:43 +0100
FIRST CALL FOR PAPERS
CLIMA IV
Fourth International Workshop on Computational Logic in Multi-Agent Systems
January 6-7, 2004, Fort Lauderdale, Florida, USA
http://centria.di.fct.unl.pt/~jleite/climaIV/index.htm
Post-Proceedings will be published in Springer Verlag LNAI
Submission Deadline: September 19th
Co-located with the 7th LPNMR and the 8th AIMATH
Over recent years, the notion of agency has claimed a major role in
defining the trends of modern research. Influencing a broad spectrum
of disciplines such as Sociology, Psychology, Philosophy and many
more, the agent paradigm virtually invaded every sub-field of Computer
Science, not least because of the Internet and Robotics.
Multi-agent Systems (MAS) are communities of problem-solving entities
that can perceive and act upon their environments to achieve their
individual goals as well as joint goals. The work on such systems
integrates many technologies and concepts in artificial intelligence
and other areas of computing. There is a full spectrum of MAS
applications that have been and are being developed; from search
engines, educational aids to electronic commerce and trade.
Although commonly implemented by means of imperative languages, mainly
for reasons of efficiency, the agent concept has recently increased
its influence in the research and development of computational logic
based systems.
Computational Logic, by virtue of its nature both in substance and
method, provides a well-defined, general, and rigorous framework for
systematically studying computation, be it syntax, semantics,
procedures, or implementations, environments, tools, and standards.
The purpose of this workshop is to discuss techniques, based on
computational logic, for representing, programming and reasoning about
multi-agent systems in a formal way. This is clearly a major challenge
for computational logic, to deal with real world issues and
applications.
Following the workshop on Multi-Agent Systems in Logic Programming
affiliated with ICLP'99, the first CLIMA workshop took place in
London, UK, affiliated with CL'2000. The 2001 edition of CLIMA, took
place in Paphos, Cyprus, affiliated with ICLP'01. CLIMA'02 took place
in Copenhagen, Denmark, and was affiliated with ICLP'02 and part of
FLOC'02.
We solicit unpublished papers that address formal approaches to
multi-agent systems. The approaches as well asbeing formal must make a
significant contribution to the practice of multi-agent
systems. Relevant techniques include, but are not limited to, the
following:
* Nonmonotonic reasoning in MAS
* Planning under incomplete information in MAS
* Logical foundations of MAS
* Usage of abduction in MAS
* Representation of knowledge and belief in MAS
* Knowledge and belief updates in MAS
* Temporal reasoning for MAS
* Theory of argumentation for MAS
* Negotiation and co-operation for MAS
* Communication languages for MAS
* Distributed constraint satisfaction in MAS
* Modal logic approaches to MAS
* Logic based programming languages for MAS
* Distributed theorem proving for MAS
* Logic based implementations of MAS
* Decision theory for MAS
* Logic based agents for the Internet
SUBMISSION INSTRUCTIONS
We welcome and encourage the submission of high quality, original
papers, which are not simultaneously submitted for publication
elsewhere. Please refer to the workshop web pages for further
instructions concerning the submission procedures.
IMPORTANT DATES
* Submission: September 19th, 2003
* Notification of Acceptance: October 17th, 2003
* Final version due: November 13th, 2003
* CLIMA IV: January 6-7th, 2004
PROCEEDINGS
Post-proceedings will be published by Springer-Verlag as a volume of
the Lecture Notes on Artificial Intelligence (LNAI) series. Informal
proceedings will be available at the workshop and online.
WORKSHOP ORGANIZERS:
* Jurgen Dix, The University of Manchester, UK ([EMAIL PROTECTED])
* Joao Leite, New University of Lisbon, Portugal ([EMAIL PROTECTED])
INQUIRIES: Please send program suggestions and inquires to either of
the organizers.
------------------------------
From: Jason Eisner <[EMAIL PROTECTED]>
Subject: postdoc opportunities at Johns Hopkins
Date: Sat, 12 Jul 2003 13:20:44 -0400 (EDT)
Johns Hopkins University seeks to hire outstanding postdoctoral
researchers immediately at its Center for Language and Speech
Processing (CLSP). Candidates should have previous experience in
quantitative approaches to machine learning, speech, language, or
other AI domains. Strong computational and mathematical skills are
required.
CLSP is a leading center for research on speech and language. It
specializes in formal and quantitative approaches such as
probabilistic modeling, unsupervised machine learning, and grammar
formalisms.
Our core faculty presently include:
Luigi Burzio Cognitive Science
Bill Byrne Electrical & Computer Engineering
Jason Eisner Computer Science
Bob Frank Cognitive Science
Fred Jelinek Electrical & Computer Engineering
Sanjeev Khudanpur Electrical & Computer Engineering
Paul Smolensky Cognitive Science
David Yarowsky Computer Science
We are looking for postdocs to contribute to one or more of the
following long-term projects funded by NSF and/or DoD. Postdocs
participating in these highly visible projects can expect to gain
considerable research experience in speech and language technology.
Speech Recognition
* MALACH: Multilingual Access to Large Spoken Archives
* ASR for Rich Transcription of Conversational Mandarin
Machine Translation
* Improving Statistical Translation Models Via Text Analyzers Trained
from Parallel Corpora
Algorithmic Infrastructure
* Weighted Dynamic Programming and Finite-State Modeling
for Statistical NLP
Applicants are invited to email us a CV, a one-page statement of
research interests, a list of three references, and a cover letter
that briefly summarizes qualifications. Applications may be sent to
Sue Porterfield at [EMAIL PROTECTED] (fax to +1 410 516 5050 if email
is not possible).
Johns Hopkins University is located in Baltimore, Maryland, USA.
Our URL is http://www.clsp.jhu.edu/.
------------------------------
From: "Dave Lewis" <[EMAIL PROTECTED]>
Subject: Research Software Developer with Ornarose, Inc.
Date: Sun, 13 Jul 2003 21:29:44 -0500
Ornarose Inc. has an opening for a Research Software Developer in
Northern New Jersey or Chicago, IL. This is a short-term (5 to 6
month) position with an SBIR-supported startup company. Developer
will be responsible for implementation and testing of algorithms for
supervised and unsupervised learning. Work includes data set cleanup,
experimentation, and measuring resource demands of algorithms.
Requirements:
* B.S. or advanced degree in computer science, statistics, or
related field. 5+ years professional software development
experience. 2+ years professional experience with machine
learning, numerical optimization, or related field. Experience
with text processing is also desirable, as is experience with
designing and running computational experiments.
* C and Perl proficiency. C++ proficiency is desirable. Unix/Linux
experience. Windows experience desirable.
* Excellent verbal and written communication skills in English.
Demonstrated ability to meet deadlines and communicate
effectively when working from home.
Candidates should send a resume in ASCII or PDF to
[EMAIL PROTECTED] Ornarose, Inc. is an equal opportunity
employer. Because the position begins immediately, the candidate must
be eligible to work legally in the United States throughout 2003.
------------------------------
From: "Juhn Maing" <[EMAIL PROTECTED]>
Subject: Sr. machine learning scientist
Date: Tue, 15 Jul 2003 13:54:05 -0700
JOB POSTING: SENIOR MACHINE LEARNING SCIENTIST
UtopiaCompression (UC) is an early-stage, intelligent imaging
solutions company. UC's core offering is an intelligent image
compression technology, which was recognized in 2002 as one of the top
emerging technologies in the US by the National Institute of Standards
and Technology
(http://jazz.nist.gov/atpcf/prjbriefs/prjbrief.cfm?ProjectNumber=00-00-4936).
Job Description
UtopiaCompression is looking for a highly qualified candidate with
extensive experience and knowledge in machine learning, data mining
and knowledge discovery. The candidate is required to have an MS or
Ph.D. in the areas mentioned above from a highly reputable university.
Post-doctorate and/or industry experience is strongly preferred. The
ideal candidate will be thoroughly versed in the latest research,
methods, developments and theories in machine learning and data mining
as well as possess in-depth experience applying them to commercial,
scientific or industrial applications. The candidate is also required
to be a visionary, highly creative and a great problem solver capable
of proposing solutions to multiple problems in parallel, and mentoring
and guiding R&D engineers in developing and implementing the
solutions. Permanent residents or US citizens are preferred.
This position is ideally suited for full-time employment, but
part-time, contract and contract-to-hire arrangements may also be
considered.
Skills & Qualifications
1 - In-depth knowledge and experience in statistical analysis,
reasoning and learning (e.g., Bayesian learning, estimation
maximization and maximum likelihood algorithms, and feature extraction
problems), (statistical) combinatorial optimization and learning
(e.g., simulated annealing, genetic programming), neural networks,
inductive and rule generation learning, fuzzy reasoning, (numeric)
decision tree learning, search methods, (image) data mining and
understanding, etc. Candidates are expected to have knowledge and
working experience in various learning regimes. For instance, in the
case of layered neural nets dexterous familiarity with the back
propagation algorithm, radial basis functions, etc., in decision tree
learning working experience in information gain measure, category
utility function, tree pruning, etc.
2 - Dexterous familiarity with various machine learning and
statistical software tools.
3 - Fluency in software analysis, design and development using C
programming environment. Candidates must be well versed and
experienced in C. Working experience in C++ (and Java) is a plus.
4 - Knowledge and working experience with image compression
techniques, and image analysis and processing is a big plus.
Contact:
Juhn Maing
Product Manager
UtopiaCompression
Tel: 310-473-1500 x104
Email: [EMAIL PROTECTED]
------------------------------
From: "David Wild" <[EMAIL PROTECTED]>
Subject: postdoc position
Date: Tue, 8 Jul 2003 04:36:57 -0700
Keck Graduate Institute of Applied Life Sciences
Postdoctoral Fellow
The Keck Graduate Institute of Applied Life Sciences is seeking a
highly creative and motivated postdoctoral research fellow to
participate in the following research area:
Development of Bayesian network models and machine learning
methods for protein structure prediction. This project is part of
a collaborative effort to develop a community resource to enable
the emerging science of structural genomics. Candidates should
have a Ph.D. in computational biology, computer science, machine
learning, theoretical physics, applied mathematics, or a similar
quantitative field and a strong interest in molecular biology.
KGI is located 35 miles east of Los Angeles, at the foot of the San
Gabriel Mountains. Its campus is contiguous with those of the other
Claremont Colleges, which together with surrounding educational
institutions in Southern California provide a rich intellectual and
cultural environment. The position forms part of a collaborative
research project between KGI, UCL, UCSD and the Burnham Institute. The
successful candidate will be based at KGI and work in close
collaboration with the Gatsby Unit for Computational Neuroscience at
University College London.
Prospective candidates should apply with a cover letter and CV, and
ask for at least two letters of recommendation to be sent to Dr. David
Wild at: Keck Graduate Institute, 535 Watson Drive, Claremont, CA
91711. Email: [EMAIL PROTECTED]
------------------------------
From: "Candida Ferreira" <[EMAIL PROTECTED]>
Subject: Publication of the first book on Gene Expression Programming
Date: Sun, 6 Jul 2003 18:40:55 +0100
I am pleased to announce the publication of the book:
Gene Expression Programming: Mathematical Modeling by an Artificial
Intelligence
by Candida Ferreira, 2002.
272 pp. ISBN 972-95890-5-4
In this first book on gene expression programming the author describes
thoroughly the basic gene expression algorithm and numerous
modifications to this new algorithm, providing all the implementation
details so that anyone with elementary programming skills will be able
to implement it themselves.
As a powerful meta-language, gene expression programming touches all
the fields of computer intelligence and everyone who faces challenging
problems and cannot solve them using either traditional mathematical
approaches or sophisticated machine learning techniques can benefit
from the practical understanding of this new powerful technique.
The book is self-contained and can be used by people with little
knowledge of calculus and no prerequisites associated with knowledge
of any programming language are required.
The book provides an introduction to this new exciting field of
computer intelligence, including a large body of previously
unpublished materials such as:
o data mining
o classifier systems
o parameter optimization
o evolution of Kolmogorov-Gabor polynomials
o times series prediction
o evolution of linking functions
o multicellular systems
o automatically defined functions
o user defined functions
o complete neural network induction
The book also discusses some important and controversial evolutionary
topics that might be refreshing to both evolutionary computists and
evolutionary biologists.
For further information and to order online, please go to:
http://www.gene-expression-programming.com/gep/Books/index.asp
------------------------------
From: Stefan Wermter <[EMAIL PROTECTED]>
Subject: Stipends for MSc Intelligent Systems
Date: Thu, 17 Jul 2003 13:23:49 +0100
Stipends available for MSc Intelligent Systems
The School of Computing and Technology, University of Sunderland is
delighted to announce the launch of its new MSc Intelligent Systems
programme for October 2003. Building on the School's leading edge
research in intelligent systems this masters programme will be funded
via the ESF scheme (see below).
Intelligent Systems is an exciting field of study for science and
industry since the currently existing computing systems have often not
yet reached the various aspects of human performance. "Intelligent
Systems" is a term to describe software systems and methods, which
simulate aspects of intelligent behaviour. The intention is to learn
from nature and human performance in order to build more powerful
computing systems. The aim is to learn from cognitive science,
neuroscience, biology, engineering, and linguistics for building more
powerful computational system architectures. In this programme a wide
variety of novel and exciting techniques will be taught including
neural networks, intelligent robotics, machine learning, natural
language processing, vision, evolutionary genetic computing, data
mining, information retrieval, Bayesian computing, knowledge-based
systems, fuzzy methods, and hybrid intelligent architectures.
Programme Structure
The following lectures/modules are available (at least modules with *
are intended to be available for the Oct. 2003 cohort entry)
Neural Networks *
Intelligent Systems Architectures *
Learning Agents *
Evolutionary Computation
Cognitive Neural Science *
Knowledge Based Systems and Data Mining *
Bayesian Computation
Vision and Intelligent Robots *
Natural Language Processing *
Dynamics of Adaptive Systems
Intelligent Systems Programming *
Funding up to 6000 pounds (about 9.000Euro) for Eligible Students
The Bursary Scheme applies to this Masters programme commencing
October 2003 and we have obtained funding through the European Social
Fund (ESF). ESF support enables the University to waive the normal
tuition fee and provide a bursary of £ 75 per week for 45 weeks for
eligible EU students, together up to 6000 pounds or 9000 Euro.
For further information in the first instance please see:
http://www.his.sunderland.ac.uk/Teaching_frame.html
http://osiris.sund.ac.uk/webedit/allweb/courses/progmode.php?prog=G550A&mode=FT&mode2=&dmode=C
For information on applications and start dates contact:
[EMAIL PROTECTED] Tel: 0191 515 2758
For academic information about the programme contact:
[EMAIL PROTECTED]
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End of ML-LIST Digest Vol 15, No. 12
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