Machine Learning List
Sat, 05 Jul 2003 20:32:19 -0700
Machine Learning List: Vol. 15, No. 11
Saturday, July 5, 2003
Contents
Calls for Papers
DATA STREAMS TRACK, ACM SAC 2004
MIR03
JASIST special issue on Computational Approaches to Style
IEEE Int'l Conference one-Technology, e-Commerce and e-Service
ECIR-04 26th European Conference on Information Retrieval
IAS-8
Machine Learning as Experimental Philosophy of Science
ITCLS 2003 - Deadline extended to July 14th, 2003
Career Opportunities
Postdoctoral positions in Toronto
Phd Studentships - School of Computing, RGU, Scotland
Research Fellow positions at Univ. College London (Adastral Park)
Miscellany
Initial IBAL release
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]
In general, submissions should be no more than a few full screens of
text. For meeting announcements, highlight the conference or workshop
web page and give a summary description of the goals of the event.
Information such as the list of program committee members, talk
schedules, and registration forms are unnecessary and should not be
included. Job ads are usually no more than a few full-screens so they
should fit naturally.
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From: "Jesus S. Aguilar" <[EMAIL PROTECTED]>
Subject: DATA STREAMS TRACK, ACM SAC 2004
Date: Sat, 21 Jun 2003 13:17:07 +0200
CALL FOR PAPERS: ACM SAC 2004, DATA STREAMS TRACK
http://www.lsi.us.es/~aguilar/ds/
ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2004
March 14-17, 2004, Nicosia, Cyprus
For the past eighteen years, the ACM Symposium on Applied Computing
has been a primary gathering forum for applied computer scientists,
computer engineers, software engineers, and application developers
from around the world. SAC 2004 is sponsored by the ACM Special
Interest Group on Applied Computing, and is hosted by the University
of Cyprus in Nicosia, Cyprus.
DATA STREAMS TRACK
The rapid growth in information science and technology in general and
the complexity and volume of data in particular have introduced new
challenges for the research community. Databases are growing
incessantly and, in many cases, we need to extract some sort of
knowledge from this continuous stream of data. The goal of the track
is to convene researchers who deal with decision rules, decision
trees, association rules, clustering, filtering, pre-processing,
post-processing, feature selection, visualization techniques,
etc. from data streams.
Topics include but are not restricted to:
Data Stream Models
Clustering from Data Streams
Decision Trees from Data Streams
Association Rules from Data Streams
Decision Rules from Data Streams
Feature Selection from Data Streams
Visualization Techniques for Data Streams
Single-Pass Algorithms
Scalable Algorithms
Real-Time Applications
Real-World Applications
GUIDELINES FOR PAPER SUBMISSION
The preferred file format is PDF, in which papers' final version must
be submitted. Do not compress files in any way.
Submit two files:
A one-page cover sheet that lists the title of the paper, the name(s)
and affiliation(s) of the author(s), and the address (including e-mail
address and fax number) to which correspondence should be sent.
The paper itself in PDF format, with authors and affiliations omitted.
Author names and addresses must not appear in the body of the paper,
self-reference must be in the third person, attribution to the
author(s) must be in the form of "author", and bibliographical entries
by the author(s) must also be in the form of "author".
Each submitted paper will be fully refereed and undergo a blind review
process by at least three referees. The conference proceedings will be
published by ACM. Hence, all accepted papers should be submitted in
ACM 2-column camera ready format for publication in the symposium
proceedings. The maximum number of pages allowed for the final papers
is 5 pages.
There is a set of templates to support the required paper format for a
number of document preparation systems at
http://www.acm.org/conferences/sac/sac2004/submission.html
Accepted papers will be published in the annual conference proceedings
by ACM and in the Digital Library, and also in DBLP.
Please submit papers electronically by e-mail to the track co-chair
[EMAIL PROTECTED] (subject: DS-SAC04)
Poster Publication of Selected Papers:
A set of selected papers, which did not get accepted as full papers,
will be accepted as poster papers and will be published as extended
2-page abstracts in the symposium proceedings.
ACM SIGKDD Explorations Special Issue:
We have plans to invite a selected number of accepted papers for
expansion and revision for possible inclusion in an ACM SIGKDD
Explorations Vol 6. Issue 1, after additional reviewing.
IMPORTANT DUE DATES
Sept. 6, 2003: Paper/Tutorial submissions
Oct. 18, 2003: Author notification
Nov. 8, 2003: Camera-Ready Copy
CHAIRS
Jesus S. Aguilar-Ruiz, University of Seville, Spain
[EMAIL PROTECTED]
http://www.lsi.us.es/~aguilar/
Paul R. Cohen, University of Massachusetts, US
[EMAIL PROTECTED]
For more information, visit http://www.lsi.us.es/~aguilar/ds/ .
------------------------------
From: Lim (mlew) <[EMAIL PROTECTED]>
Subject: MIR03
Date: Mon, 23 Jun 2003 13:12:04 +0200
CALL FOR PAPERS - MIR 2003
5th International Workshop on Multimedia Information Retrieval
November 7, Berkeley, CA, USA
in conjunction with ACM Multimedia 2003
Website: http://carol.wins.uva.nl/~nicu/MIR/
GENERAL INFORMATION
The explosion of multimedia content in databases, broadcasts,
streaming media, etc. has generated new requirements for more
effective access to these global information repositories. Content
extraction, indexing, and retrieval of multimedia data continues to be
one of the most challenging and fastest-growing research areas.
Following the success of the four previous MIR workshops held in
conjunction with the ACM Multimedia Conferences, the purpose of the
5th International Workshop on Multimedia Information Retrieval (MIR
2003) is to bring together researchers, developers, and practitioners
from academia and industry to discuss issues in retrieving multimedia
information from libraries, databases, and streaming media sources. We
are soliciting high quality original papers which address a range of
issues in multimedia information retrieval including, but not limited
to:
* Content-based indexing, search, and retrieval of multimedia data
* Multimedia data modeling and visualization
* Automated semantic annotation
* Metadata for multimedia retrieval
* Multi-modal human-computer interaction
* Query languages and query processing for multimedia retrieval
* Multimedia and media mining
* User perspectives and user modeling for multimedia retrieval
* Semantic content analysis
* Intelligent agents for multimedia indexing and retrieval
* Tools, benchmarks, and standards
* Multimedia retrieval for pervasive devices
* New media types and new applications
* Multi-modal event detection and recognition
* Multi-modal/Multi-sensor fusion techniques
* Indexing and retrieval from streaming media
* Issues in high performance multimedia databases
IMPORTANT DATES
August 1, 2003: Submission of full paper
August 18, 2003: Notification of acceptance
August 29, 2003: Camera-ready full paper
PAPER SUBMISSION
Email full papers (no longer than 8 pages in the ACM style sheet in
English), to
[EMAIL PROTECTED]
with the following information:
(1) Title of paper & short abstract summarizing the main contribution
(2) Names and contact info of all authors, also specifying the contact
author.
(3) The paper in postscript or PDF format.
All submissions will be peer-reviewed by at least 3 members of the
program committee. The workshop proceedings will be printed and
appear in the ACM Digital Library.
KEYNOTE ADDRESS
Prof. David Forsyth of UC Berkeley
ORGANIZING COMMITTEE
Nicu Sebe, University of Amsterdam, The Netherlands
Chabane Djeraba, University of Nantes, France
Michael Lew, LIACS Media Lab, The Netherlands
For more information, visit http://carol.wins.uva.nl/~nicu/MIR/ .
------------------------------
From: "Prof. Shlomo Argamon" <[EMAIL PROTECTED]>
Subject: CFP: JASIST special issue on Computational Approaches to Style
Date: Mon, 23 Jun 2003 16:36:11 -0500
Call for Papers
Special Topic Issue of _JASIST_
Computational Methods for Style Analysis and Synthesis
The next Special Topics Issue of the _Journal of the American
Society for Information Science and Technology_ (JASIST) is
scheduled to come out in early 2004 on the topic of Computational
Methods for Style Analysis and Synthesis. The guest editor for this
special issue will be Shlomo Argamon of the Illinois Institute of
Technology in Chicago, IL.
In recent years a growing number of researchers working in a
variety of different areas have focused on explicitly addressing
recognition and generation of style in their various disciplines,
research that contrasts with traditional emphases on 'performance'
or 'content' or 'meaning'. Indeed, in some media such as music,
visual art and to a lesser extent, film and even expressive speech,
'meaning' itself comprises mainly factors such as excitation and
calmness or other emotional expressions that can be considered
aspects of style instead of what is usually thought of as content.
Achievements in computational style research include systems for
authorship attribution, organizing and retrieving documents based
on their writing style, composing new music in a given composer's
style, rendering animation in different motion styles, and more.
Work in all media shares the problem of formalizing a notion of
style, and developing a modeling language that supports the
representation of differing styles. Machine learning techniques
are often applied to automatically determine the parameters of such
models.
We seek submissions that address all aspects of style analysis and
synthesis from a computational perspective, but are particularly
interested to see work that addresses some of the following
questions:
- What is style, and how may it be formalized?
- What kinds of features indicate style (as opposed to function or
meaning)?
- How is style related to short- and long-term temporal
dependencies, such as found in music or text?
- How do stylistic features correlate with affect of the
observer/performer?
- How may style be effectively combined with pre-existing content?
- What sorts of formal modeling methods are useful in representing
style?
- How may one effectively learn a style of expression and then
execute it?
- How does perceived style depend on the observer's context?
- How may presentation style affect comprehension?
- What connections can be drawn from stylistic methods used for one
domain to another?
We seek papers that discuss research in the area of Style Analysis
and Synthesis in all media and from many angles. Inquiries can be
made to the guest editor at [EMAIL PROTECTED]
Manuscript submissions (four copies of full articles) should be
addressed to:
Professor Shlomo Argamon
Department of Computer Science
Illinois Institute of Technology
10 W. 31st Street
Chicago, IL 60616
(312) 567-5289 voice
(312) 567-5067 fax
[EMAIL PROTECTED] email
The deadline for accepting manuscripts for consideration for
publication in this special issue is August 31, 2003. All
manuscripts will be reviewed by a select panel of referees, and
those accepted will be published in a special issue of
_JASIST_. Original artwork and a signed copy of the copyright
release form will be required for all accepted papers.
A copy of the call for papers will be available on the World Wide
Web as is further information about _JASIST_, at
http://www.asis.org/.
------------------------------
From: "Soe-Tsyr Yuan" <[EMAIL PROTECTED]>
Subject: 1st Call For Paper: IEEE International Conference one-Technology, e-Commerce
and e-Service
Date: Thu, 26 Jun 2003 00:33:18 +0800
1st Call For Paper: IEEE International Conference one-Technology,
e-Commerce and e-Service
IEEE International Conference on e-Technology, e-Commerce and
e-Service (EEE-04)
Grand Hotel, Taipei, Taiwan
March 29-31, 2004
http://bikmrdc.lm.fju.edu.tw/eee04/
The 2004 IEEE International Conference on e-Technology, e-Commerce and
e-Service(EEE-04) aims to bring together researchers and developers
from diverse areas of computing, developers and practitioners to
explore and address the challenging research issues on e-technology in
order to develop a common research agenda and vision for e-commerce
and e-business. The main focus of the conference is on the enabling
technologies to facilitate next generation, intelligent e-Business,
e-Commerce and e-Government.
All submissions will be handled electronically and must be in PDF or
PostScript format. Please see the conference web page for
instructions. Accepted papers are to be included in the conference
proceedings published by IEEE Computer Society. Outstanding papers at
EEE-04 will be expanded and revised for inclusion in Information
Systems Frontiers (a SCI-indexed international journal published by
Kluwer Academic Publishers).
For more details of this conference, please see or the conference web
page.
- Paper submissions due: November 1, 2003
- Notification of acceptance: December 20, 2003
- Camera-ready final papers due: January 20, 2004
EEE-04 Program Co-Chairs
Soe-Tsyr Yuan, Fu-Jen University, Taiwan
Jiming Liu, HK Baptist University, HongKong
------------------------------
From: Zia Syed <[EMAIL PROTECTED]>
Subject: FIRST CALL FOR PAPERS: ECIR-04- 26th European Conference on
Information Retrieval
Date: 27 Jun 2003 16:22:28 +0100
FIRST CALL FOR PAPERS
26th European Conference on Information Retrieval (ECIR-04)
April 5-7, 2004
Sunderland, UK
http://ecir04.sunderland.ac.uk
The British Computer Society's Information Retrieval Specialist
Group's annual European Conference on Information Retrieval (ECIR'04)
is the main European forum for the presentation of new research
results in the field of Information Retrieval. The Conference
encourages the submission of high quality research papers reporting
original, previously unpublished results. Topics of interest include
but are not limited to the following areas:
Text representation and indexing
Cross-lingual and multilingual IR
Metasearching and data fusion
Data mining and information extraction
Topic detection and tracking
Text summarisation
Question answering
Web-based IR
Information Retrieval for digital libraries
Mobile IR
Formal methods and language models for IR
Natural Language Processing for IR
Structured document retrieval, including XML
Image and video retrieval
Text classification (categorization or clustering)
Content-based adaptive filtering and routing
Usability, interactivity and visualization
Search strategies
User modelling and user studies
Evaluation issues and test collections
Distributed IR
Compression and scalability in IR
Architectures for IR
Audio and speech retrieval
Optical character recognition and IR
Machine learning for IR
SUBMISSION CATEGORIES
FULL PAPERS
The conference encourages the submission of high quality research
papers that have not been previously published and are not under
review for another conference or journal. Submissions will be reviewed
by a panel of experts on the basis of the originality of the work, the
validity of the results, chosen methodology, writing quality, and the
overall contribution to the field of Information Retrieval.
All accepted full papers will be published in the conference
proceedings by Springer-Verlag in the Lecture Notes in Computer
Science series (http://www.springer.de/comp/lncs/index.html).
Submissions must be in English, which is the official language of the
conference, and must not exceed 15 pages including references and
figures.
Papers should be submitted as PDF files through the conference web
site. Submission templates and guidelines are available for download
at the following address:
http://www.springer.de/comp/lncs/authors.html
POSTERS
Poster submissions addressing any of the areas identified in the
conference topics are invited. Authors are encouraged to demonstrate
work in progress and late-breaking research results. The submission
must include a two-page summary of the work, prepared in accordance
with the template available on the conference website. All accepted
posters will be published in volume two of the proceedings, which will
be distributed at the conference.
An A4 diagrammatic plan of the poster display is also required. Please
note that because of the late deadline for submissions for this track,
all posters must be submitted in camera-ready copy format. There will
be no opportunity for authors to modify poster papers following the
review process.
For further information about poster submission please contact Dr.
Michael Oakes, ECIR 2004 Posters Chair, email:
[EMAIL PROTECTED]
IMPORTANT DATES
Deadline for Full Papers 1 November 2003
Notification for Full Papers 19 December 2003
Camera ready copy Full Papers 14 January 2004
Deadline for Posters 07 January 2004
Notification for Posters 07 February 2004
CONFERENCE VENUE
The conference will be held at the School of Computing and Technology
at the University of Sunderland, UK. Located on the North East Coast
of England, Sunderland is one of the UK's newest cities. Standing on
one of the oldest educational cites in the country, the university
campus successfully blends the old with the new. To the North of the
campus lies St Peter's church where the Venerable Bede was trained,
marking a tradition of learning that stretches back over a thousand
years.
TRAVEL
Sunderland is located on the North East coast of England, close to the
A19 and A1. The nearest airport is Newcastle International Airport
providing connections to most major UK and European cities, including
London Heathrow, Gatwick, Stansted, Amsterdam Schiphol and Brussels.
Direct Metro link to Newcastle Airport. Direct Metro and rail links
to Newcastle Central Station, with trains to all major UK cities
FURTHER INFORMATION
For more details about the conference please contact the conference
General Chairs:
Dr. Sharon McDonald and Professor John Tait
School of Computing and Technology
University of Sunderland
Sunderland
SR6 0DD
United Kingdom
Email: [EMAIL PROTECTED]
http://ecir04.sunderland.ac.uk
------------------------------
From: "ias8 Conference" <[EMAIL PROTECTED]>
Subject: IAS-8: Call for Papers
Date: Tue, 1 Jul 2003 13:58:53 +0200 (CEST)
CALL FOR PAPERS
IAS-8: 8th Conference on Intelligent Autonomous Systems
March 10-13, 2004
Amsterdam, NL
www.ias8.org
IAS-8 brings the Intelligent Autonomous Systems Conference back to
Amsterdam, the city which also hosted the first two IAS
conferences. The focus of these conferences is on intelligent systems
that can directly sense and act in their own environment without
demanding detailed supervision from humans. These systems are
beginning to enter our daily life in ambient intelligence
applications. Many new challenges are emerging to create systems that
can operate and interact in human inhabited environments.
SUBMISSION INFORMATION
Prospective authors are invited to submit full papers in PDF or
Postscript formats through the conference website
www.ias8.org. Accepted papers must be presented at the conference by
one of the authors in order to appear in the conference proceedings
and CD. The proceedings will be published by IOS press and will be
available as book and CD-ROM.
IMPORTANT DATES
Submission of full papers: Sept 8, 2003
Acceptance notification: Nov 17, 2003
Final paper due: Dec 15, 2003
Early registration: Dec 15, 2003
EURON MEETING The annual meeting of the European Robotics Research
Network is co-located with, and immediately follows the IAS-8
conference.
TOPICS include but are not limited to: Autonomous robots, Robot
vision, Domestic robots, Multi-agent systems, Sociable systems,
Distributed decision making, Cooperative multi-robots, Human and robot
skills Humanoids, Service robotics, Health care and medical robots,
Biologically inspired systems, Sensing and data fusion, Planning and
control architectures, Learning and adaptive systems, Robot societies,
Robots in space and underwater, Human-robot interaction, Cognitive
robotics
GENERAL CHAIR: Frans Groen, University of Amsterdam, The Netherlands
For further information, visit http://www.ias8.org
------------------------------
From: Kevin Korb <[EMAIL PROTECTED]>
Subject: CFP: Machine Learning as Experimental Philosophy of Science
Date: Fri, 4 Jul 2003 15:23:33 +1000
CALL FOR PAPERS
MINDS AND MACHINES
http://www.wkap.nl/journalhome.htm/0924-6495
SPECIAL ISSUE: MACHINE LEARNING AS EXPERIMENTAL PHILOSOPHY OF SCIENCE
GUEST EDITORS: KEVIN KORB AND HILAN BENSUSAN
Deadline: 1 December 2003
Machine learning studies inductive strategies in algorithms. The
philosophy of science investigates inductive strategies as they appear
in scientific practice. Although the two disciplines have developed
largely independently, they share many of the same underlying
problems. This is slowly coming to be recognized in a number of ways,
as evidenced in the annual Uncertainty in AI and AI and Statistics
conferences. This special issue will explore the extent to which the
methods and resources of philosophy of science and machine learning
can inform one another.
In "Computational Philosophy of Science" (1988) Paul Thagard presented
a challenge to the philosophical community: philosophical theories of
scientific method, if they are worth their salt, should be
implementable as computer programs. Contributions will address this
challenge and/or the inverse challenge: both machine learning
algorithms and methods for evaluating machine learning algorithms
should be implementations of sensible approaches to philosophy of
science. Machine learning researchers have only recently discovered
the relevance of statistics and philosophical views on the foundations
of statistics to evaluating the performance of their systems; we hope
to carry that discussion further.
The special issue will therefore focus on such questions as:
1. Can machine learning experiments tell us about inductive discovery
in science?
2. What theoretical results in computational learning can be useful in
understanding scientific method? How can accounts of scientific
confirmation, explanation, discovery and consilience be used to
develop automatic learning systems?
3. How can we assess induction? What statistical or other criteria
need to be met to prefer one machine learning algorithm and/or
scientific method over another? What is the role in machine learning
and science of model building versus prediction?
4. Is there a substantial difference between scientific reasoning as
conceived in the philosophy of science and in machine learning?
5. Is scientific method indeed mechanizable? Are scientific practices
algorithmic?
Instructions for Authors are available at
http://www.kluweronline.com/issn/0924-6495
Inquiries and papers should be sent to:
[EMAIL PROTECTED]
or
Dr Kevin Korb
School of Computer Science and Software Engineering
Monash University
Clayton, Victoria 3800
Australia
------------------------------
From: Jesus Correas Fernandez <[EMAIL PROTECTED]>
Subject: ITCLS 2003 CfP - Deadline extended to July 14th, 2003
Date: Fri, 04 Jul 2003 18:26:49 +0200
[ITCLS 2003 CfP - Deadline extended to July 14th, 2003]
Call for Papers and Participation
COLOGNET Workshop on
Implementation Technology for Computational Logic Systems
(ITCLS 2003)
Satellite Workshop of FME 2003 Symposium
9 September 2003, Pisa, Italy
http://www.clip.dia.fi.upm.es/Conferences/ITCLS-2003/
------------------------------
From: Geoffrey Hinton <[EMAIL PROTECTED]>
Subject: postdoctoral positions in Toronto
Date: Fri, 27 Jun 2003 14:39:55 -0400
The Machine Learning Group in the Department of Computer Science at
the University of Toronto is seeking two outstanding postdoctoral
researchers to join our lab for up to three years starting between
August 2003 and April 2004. Candidates should have a strong
computational background and a keen interest in machine learning
research.
One postdoc will work primarily with Geoffrey Hinton on unsupervised
learning of multilayer distributed representations. In addition to
experience in machine learning, an interest in vision and/or
computational neuroscience would be an asset for this position.
The other postdoc will work primarily with Sam Roweis on machine
learning, data mining, and statistical signal processing.
Our group studies applied statistics and data mining as well as many
aspects of computational and biological learning. Active research
projects include investigations of unsupervised learning algorithms,
population coding, generative models and Monte Carlo or variational
methods for fitting them, kernel machines, reinforcement learning,
spectral methods, Bayesian estimation, and applications to
bioinformatics, collaborative filtering, text and web documents,
speech and audio processing, and scientific data analysis.
Currently we have the following six full time faculty members and
three postdocs as well as 15 graduate students and several affiliated
members in other departments and units:
Faculty: Postdocs:
Craig Boutilier Matt Beal
Brendan Frey (ECE) Miguel Carreira-Perpinan
Geoffrey Hinton Max Welling
Radford Neal
Sam Roweis
Rich Zemel
For more information, please consult our lab's website at
http://learning.cs.toronto.edu
The learning group in Toronto provides an exceptional critical mass of
researchers interested in all aspects of statistical learning,
adaptive behaviour and signal processing. Our department also has
extremely strong groups in Computer Vision, Computational Linguistics,
Planning and Reasoning, Theory, Database Systems and other related
areas. The Department of Electrical and Computer Engineering at
Toronto also has several groups engaged in research on mobile
robotics, audio and video processing, distributed sensor networks,
coding and communications and data compression. Toronto itself is an
extremely livable, cosmopolitan metropolis with exceptional culture,
food and outdoor recreation in and around the city.
Applicants should send a CV, a one page statement of research
interests, and a list of three references electronically to either
[EMAIL PROTECTED] or [EMAIL PROTECTED]
If electronic submission is not possible, fax your application to
416-978-1455, directed to the attention of either Sam Roweis or
Geoffrey Hinton.
------------------------------
From: Zia Syed <[EMAIL PROTECTED]>
Subject: Phd Studentships - School of Computing, RGU, Scotland
Date: 02 Jul 2003 21:04:10 +0100
School of Computing
PhD Research Studentships
Robert Gordon University, Scotland, UK
A research studentship opportunity in the below mentioned area and
others in Computing are available: Adaptive User Interfaces for
Personal Information Use (please quote ref: FDT1)
For application form and details on this and other studentships in
School please see:
http://www.rgu.ac.uk/research/degrees/page.cfm?pge=8541
http://www.scms.rgu.ac.uk/vacancies/studentships.shtml
These studentships are open to all applicants, and candidates should a
first or upper second class honours degree (or equivalent) in computer
science or a degree with significant computing content.
All successful candidates will have a tax free living allowance of
£9500 (which is £500 above the normal stipend) per annum. Depending
on eligibility,non-UK/EU students will need to contribute £500 per
annum towards their Overseas tuition fees.
Aberdeen is a superb place to live with good accommodation, excellent
amenities and a large student population. The countryside surrounding
Aberdeen provides myriad opportunities for hill walking,orienteering,
canoeing, mountain biking, cycling,skiing and other outdoor pursuits.
------------------------------
From: "Ingemar J. Cox" <[EMAIL PROTECTED]>
Subject: Research Fellow positions at University College London (Adastral Park)
Date: Fri, 04 Jul 2003 15:02:13 -0400
The Departments of Electronic Engineering and Computer Science of
University College London are establishing a new postgraduate research
institute at Adastral Park, near Ipswich.
We currently have vacancies for three Research Fellows. These
positions are intended to be equivalent to Lecturer/Senior Lecturer
(assistant/associate professor) positions, but are initially for a 5
year period.
Interested candidates can find further information at
http://www.ucl.ac.uk/hr/vacancies/adverts/EE0040.html
The application deadline is July 30.
------------------------------
From: Avi Pfeffer <[EMAIL PROTECTED]>
Subject: initial IBAL release
Date: Mon, 23 Jun 2003 13:23:32 -0400
I am pleased to announce the initial release of IBAL, a general
purpose language for probabilistic reasoning. IBAL is highly
expressive, and its inference algorithm generalizes many common
frameworks as well as allowing many new ones. It also provides
parameter estimation and decision making. All this is packaged in a
programming language that provides libraries, automatic type checking,
etc.
IBAL may be downloaded from http://www.eecs.harvard.edu/~avi/IBAL.
------------------------------
End of ML-LIST Digest Vol 15, No. 11
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