_______________________________________________________________________________
Machine Learning List: Volume 17, Number 5
Tuesday, November 14, 2005
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Contents
Calls for Papers & Participation
EvoOpt 2006 - Special Track at FLAIRS'06
IEEE Data Mining 2005
Pattern Recognition Competition
S+SSPR 2006
International Symposium on Methodologies for Intelligent Systems
UK KDD Symposium
IEEE Workshop on Knowledge Acquisition
EACL2006 Workshop on Adaptive Text Extraction and Mining
ADMA'06
ICML2007 Call for Site Proposals
Career Opportunities
PhD Student Positions in Machine Learning at IDIAP
Research Position in Machine Learning at ULB, Brussels
Postdoctoral Positions at Oregon State University
Tenure-track Faculty Position at Colorado State
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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 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/participation
and brief 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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Date: Wed, 12 Oct 2005 00:02:51 +0100
From: Jorge Tavares <[EMAIL PROTECTED]>
To: [email protected]
Subject: EvoOpt 2006 - Special Track at FLAIRS'06
CALL FOR PAPERS
EvoOpt 2006 - Special Track at FLAIRS '06
Special Track on Evolutionary Optimization
at the 19th International FLAIRS Conference
(in cooperation with AAAI)
11th-13th May, 2006, Melbourne, Florida, USA
Submission Deadline: November 21, 2005
EvoOpt 2006 website: http://evoopt2006.dei.uc.pt
FLAIRS 2006 website: http://www.indiana.edu/~flairs06/
EvoOpt-2006 will focus on the application of evolutionary algorithms
to complex optimization problems. In the past few years, these
algorithms have been successfully applied to a large number of
optimization problems. Some of the most relevant examples belong to
the class of combinatorial optimization problems such as the traveling
salesperson, scheduling, packing, planning or routing. Additionally,
there are many other situations appearing in various industrial,
economical, and scientific domains that have also been solved using
evolutionary methods.
The topics of interest of the track include (although not limited to):
* Application of evolutionary algorithms and related nature-inspired
techniques, such as ant colony optimization, particle swarm algorithms
or memetic [sic] algorithms, to optimization problems
* Representation techniques and evolutionary operators
* Hybridization of evolutionary algorithms with other search methods
* Multi-objective optimization
* Application to dynamic optimization problems
* Constraint handling techniques
* Search space analysis
* Neighborhoods and efficient algorithms for searching them
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Date: 12 Oct 2005 06:20:35 +0900
From: [EMAIL PROTECTED]
To: [email protected]
Subject: IEEE Data Mining 2005
IEEE Data Mining 2005: Call for Participation
http://www.cacs.louisiana.edu/~icdm05/
2005 IEEE International Conference on Data Mining (ICDM)
Inter-Continental Hotel, 2222 West Loop South Houston, TX 77027, USA
November 27th - 30th, 2005
On-line registration (and other information) is available at:
http://www.cacs.louisiana.edu/~icdm05/
Register by October 22nd to get the early-bird rate!
Be sure to book hotel rooms by November 17, 2005 for discounted rates.
Hotel Website: http://www.houston.intercontinental.com/
The three letter code to get special rate, during online booking is 'S07'.
The code for phone booking is 'ICDM 2005' or 'IEEE ICDM 2005'
Conference highlights include:
* Four Invited Talks (November 28 - 30, 2005)
* Five Tutorials (Sunday, November 27, 2005)
* Ten Workshops (Sunday, November 27, 2005):
* One Panel (2:00 pm ~ 3:00 pm, Tuesday, November 29, 2005)
* 141 Technical Paper Presentations (November 28 - 30, 2005)
More information available at ICDM'05 Website at:
http://www.cacs.louisiana.edu/~icdm05/
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Date: Mon, 10 Oct 2005 10:13:57 +0200
From: Isabelle Guyon <[EMAIL PROTECTED]>
To: [email protected]
Subject: Pattern Recognition Competition
Dear colleagues,
We are organizing a new pattern recognition challenge entitled
Performance Prediction Challenge.
http://www.modelselect.inf.ethz.ch/
How good are you at predicting how good you are?
Find out: compete to predict accurately your generalization performance.
This problem, which is of great practical importance, e.g. in pilot
studies, poses theoretical and computational challenges. Is cross-
validation the best solution? What should k be in k-fold? Can one use
theoretical performance bounds to better assess generalization?
You will have opportunities to publish at WCCI 2006 (Vancouver, July
2006) and in a special issue of JMLR. Check the web site!
Isabelle Guyon
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Date: Tue, 18 Oct 2005 18:38:35 +0800 (HKT)
From: [EMAIL PROTECTED]
To: [email protected]
Cc: [EMAIL PROTECTED]
Subject: S+SSPR 2006
FIRST ANNOUNCEMENT and CALL FOR PAPERS
Joint IAPR International Workshops On Structural and Syntactic Pattern
Recognition (SSPR 2006) and Statistical Techniques in Pattern Recognition
(SPR 2006)
August 17-19, 2006
Hong Kong University of Science and Technology, China
http://www.ssspr.org/2006/
Paper submission deadline: January 31, 2006
The International Association for Pattern Recognition (IAPR) and its
Technical Committees on Statistical Pattern Recognition (TC1) and
Structural and Syntactical Pattern Recognition (TC2) will organize
the next joint workshops at the Hong Kong University of Science and
Technology (HKUST) prior to ICPR 2006 which will also be held in Hong
Kong. The joint workshops aim at promoting interaction and collaboration
not only among researchers working directly in areas covered by TC1
and TC2 but also among those in other fields who use statistical,
structural or syntactical techniques extensively. We welcome
mathematicians, statisticians, researchers in machine learning and
practitioners alike who, at present, work outside the pattern
recognition community.
SSPR Topics:
Structural matching; Syntactic pattern recognition; Image understanding;
Shape analysis; Graphical models; Graph-based methods; Spectral methods
for graph-based representations; Probabilistic and stochastic structural
models for PR; Structural learning in spatial or spatio-temporal signals;
Kernel methods for structured data; Image and video analysis; Intelligent
sensing systems; Spatio-temporal pattern recognition; SSPR methods in
computer vision; Multimedia signal analysis; Image document analysis;
Structured text analysis and understanding; Novel applications
SPR Topics:
Density estimation; Large margin classifiers; Kernel methods; Ensemble
methods and multiple classifiers; Bayesian methods; Gaussian processes;
Dimensionality reduction; Independent component analysis; Cluster
analysis and unsupervised learning; Data visualization; Semi-supervised
learning; Model selection; Hybrid methods; Comparative studies; Speech
and image analysis; Novel applications
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Date: Tue, 18 Oct 2005 13:16:03 +0200
From: ISMIS 2006 <[EMAIL PROTECTED]>
To: undisclosed-recipients:
Subject: International Symposium on Methodologies for Intelligent Systems
16th International Symposium on Methodologies for Intelligent Systems
ISMIS 2006
Preliminary Call for Papers
Bari, Italy, September 27-29, 2006
http://www.di.uniba.it/ismis2006/[EMAIL PROTECTED]
ISMIS has established a prestigious tradition by organizing a leading
international conference on intelligent systems.
Paper submission:.................. March 18
Notification of acceptance:........ May 15
Camera-ready copy due:............. June 30
ISMIS is intended to represent a wide range of topics of concern to
scholars applying advanced techniques to areas as diverse as decision
support, automated deduction, reasoning, knowledge based systems, machine
learning, computer vision, robotics, planning, databases, information
retrieval, etc. The focus of the work is on research in Intelligent
systems. The conference addresses issues involving solutions of problems
which are complex to be solved through conventional approaches and
which require the simulation of intelligent thought processes,
heuristics and applications of knowledge. The integration of these
multiple approaches in solving complex problems is of particular
importance. ISMIS provides a forum and a means for exchanging
information for those interested purely in theory, those interested
primarily in implementation, and those interested in specific research
and industrial applications.
ISMIS 2006 invites submissions of original research contributions, as
well as proposals for panels and workshops. The conference covers a
broad range of topics, including the use of conventional approaches,
as well as new challenges for advanced techniques for intelligent
systems in any possible domain. This Symposium is intended to attract
individuals who are actively engaged both in theoretical and practical
aspects of intelligent systems. The goal is to provide a platform for
a useful exchange between theoreticians and practitioners, and to
foster the cross-fertilization of ideas in the following areas:
- Active Media Human-Computer Interaction
- Autonomic and Evolutionary Computation
- Intelligent Agent Technology
- Intelligent Information Retrieval
- Intelligent Information Systems
- Intelligent Interfaces
- Knowledge Representation and Integration
- Knowledge Discovery and Data Mining
- Logic for AI and Logic Programming
- Machine Learning
- Soft Computing
- Text Mining
- Web Intelligence
In addition, we solicit papers dealing with Applications of
Intelligent Systems in complex/novel domains, e.g. bioinformatics,
global change, manufacturing, health care, etc.
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Date: Thu, 3 Nov 2005 12:11:27 -0000
From: Alex Freitas <[EMAIL PROTECTED]>
To: [email protected]
Subject: UK KDD Symposium
UK KDD Symposium (UKKDD'06)
http://www2.cmp.uea.ac.uk/Research/kdd/ukkdd06/ukkdd06.html
Wednesday 26 April 2006
John Innes Conference Centre, Norwich
Sponsors: The University of East Anglia and The British Computer
Society's Specialist Group on AI
This one day symposium, which will be hosted by UEA, Norwich and held
in the prestigious John Innes Conference Centre, is intended to
provide a forum for discussion, dissemination and exchange of ideas
between practitioners and researchers working within the broad field
of Knowledge Discovery and Data mining (KDD). To this end a number of
key people will be presenting a "state of the art" review of much of
the KDD research work currently in progress within UK institutions.
Following the success of UK KDD'05, hosted by the University of
Liverpool, it is hoped that the symposium will once again attract
delegates, both national and international, who are either directly
involved in KDD or have a significant interest in the subject, and
that the meeting will consequently afford an opportunity for lively
debate and discussion. The symposium will end with a plenary session
to discuss future directions and opportunities.
Organising Committee:
George Smith (Chair) University of East Anglia
Frans Coenen University of Liverpool
Alex Freitas University of Kent
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Date: Thu, 3 Nov 2005 09:29:55 -0600
From: Doina Caragea <[EMAIL PROTECTED]>
To: [email protected]
Subject: IEEE Workshop on Knowledge Acquisition
IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous,
Semantically Heterogeneous Data and Knowledge Sources
Half-day workshop from 1:15 to 6pm on November 27, 2005, Houston, Texas
http://www.cild.iastate.edu/events/ICDM2005Workshop.html
In conjunction with The Fifth IEEE International Conference on Data
Mining, Houston, Texas, USA, November 27-30, 2005
http://www.cacs.louisiana.edu/~icdm05/
Topics of interest include, but are not restricted to:
- Challenges presented by emerging data-rich application domains such
as bioinformatics, health informatics, security informatics, social
informatics, environmental informatics.
- Knowledge discovery from distributed data (assuming different types of
data fragmentation, e.g., horizontal or vertical data fragmentation;
different hypothesis classes, e.g., na?ve Bayes, decision tree;
different performance criteria, e.g., accuracy versus complexity
versus reliability of the model generated, etc.).
- Making semantically heterogeneous data sources self-describing (e.g.,
by explicitly associating ontologies with data sources and mappings
between them) in order to help collaborative science.
- Representation, manipulation, and reasoning with ontologies and mappings
between ontologies.
- Learning ontologies from data (e.g., attribute value taxonomies).
- Learning mappings between semantically heterogeneous data source schemas
and between their associated ontologies.
- Knowledge discovery in the presence of ontologies (e.g., attribute
value taxonomies) and partially specified data (data described at
different levels of abstraction within an ontology)?
- Online query relaxation when an initial query posed to the data
sources fails (i.e., returns no tuples), or equivalently, query-driven
mining of the individual sources that will result in knowledge that
can be used for query relaxation.
For more information, please visit the workshop page at:
http://www.cild.iastate.edu/events/ICDM2005Workshop.html
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Date: Mon, 7 Nov 2005 15:46:16 +0100
From: Alberto Lavelli <[EMAIL PROTECTED]>
To: [email protected]
Subject: EACL2006 Workshop on Adaptive Text Extraction and Mining
EACL2006 Workshop on Adaptive Text Extraction and Mining (ATEM 2006)
April 4, 2006, Trento, Italy
http://tcc.itc.it/events/atem2006/
The EACL 2006 Workshop on Adaptive Text Extraction and Mining
will be hosted in conjunction with the 11th Conference of the
European Chapter of the Association for Computational Linguistics
that will take place April 3-7, 2006, in Trento, Italy.
Adaptive extraction and mining from texts is an active area of
research that lies at the intersection of diverse fields such as
information extraction, text mining, machine learning, data mining,
information retrieval, and knowledge capture. As developments in
any of these fields have an immediate effect on the other ones, the
workshop's goal is to bring together researchers and practitioners
from these communities, so that they can discuss recent results and
foster new directions of research.
IMPORTANT DATES
January 6, 2006 - Deadline for workshop papers
January 27, 2006 - Notification of acceptance
February 10, 2006 - Camera-ready papers due
April 4, 2006 - ATEM 2006
ORGANISING COMMITTEE
Fabio Ciravegna (University of Sheffield, UK)
Claudio Giuliano (ITC-irst, Italy)
Nicholas Kushmerick (University College Dublin, Ireland)
Alberto Lavelli (ITC-irst, Italy)
Ion Muslea (Language Weaver, USA)
ATEM 2006 web page
http://tcc.itc.it/events/atem2006/
Conference web page
http://eacl06.itc.it/
EACL 2006 Workshops site
http://www.science.uva.nl/~mdr/EACL2006Workshops/
------------------------------------------------------------------------
From: Yonghong Peng <[EMAIL PROTECTED]>
To: undisclosed-recipients:
Subject: ADMA'06
Date: Fri, 11 Nov 2005 13:47:41 -0000
Call for Papers
The Second International Conference on Advanced Data Mining and Applications
14-16 August 2006, Xi'An China, http://www.itee.uq.edu.au/~adma06/
Following that the 1st International Conference on Advanced Data
Mining and Applications was successfully held in Wuhan University,
China and the proceedings were published in LNAI-3584 by Springer,
ADMA has become a major international and multidisciplinary event, and
we are now looking for another success of the Second International
Conference on Advanced Data Mining and Applications (ADMA'06) to be
held in Xi'An, China, 14-16 August, 2006. Xi'An is one of the most
ancient cities in China. It has one of the world wanders of Terra
Cotta Warriors buried in Qin Dynasty, more than 2000 years ago, and
was uncovered in 1970s.
The main themes of the ADMA conference are Machine Learning, Data
Mining, Information Processing and Knowledge Engineering, and
Bioinformatics. The conference will bring together scientists,
researchers and practitioners from different disciplines to share
research results, exchange novel ideas, establish collaborations, and
make new frontiers. A number of distinguished leaders of the fields
will be invited to give keynote speeches.
More details of the conference can be found from the ADMA conference
Web site http://www.itee.uq.edu.au/~adma06/
KEY DATES
Full paper submission deadline: 2 March, 2006
Acceptance notification: 6 May, 2006
Conference: August 14-16, 2006
PUBLICATIONS
1) The conference proceedings will be published by Springer in its
Lecture Notes in Computer Science series.
2) Selected papers of the conference will be invited for inclusion
in special issues of international journals.
We look forward to your participation in ADMA'06 in Xi'An China.
Yours sincerely,
ADMA'06 Program and Organising Committees
------------------------------------------------------------------------
Date: Mon, 7 Nov 2005 21:41:33 -0800
From: Thomas Dietterich <[EMAIL PROTECTED]>
To: [email protected]
Subject: ICML2007 Call for Site Proposals
INTERNATIONAL CONFERENCE ON MACHINE LEARNING 2006 CALL FOR SITE PROPOSALS
In the summer of 2007, the International Conference on Machine Learning
will be held. The purpose of this call is to invite groups interested
in hosting the conference to submit proposals. The group selected to
host the conference will work with a Program Chair and Conference Chair
chosen by the Board of the International Machine Learning Society (IMLS).
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 between 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 Equiment, etc. What are the physical facilities
like? Consider rooms for plenary sessions, parallel sessions,
workshops, tutorials, and poster sessions. What are the charges,
if any, for using them?
- 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 Methoers 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?
Proposals (postscript or PDF) should be sent before December 15, 2005
to Tom Dietterich <[EMAIL PROTECTED]>, President IMLS
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. Preference will be given to locations
in western North America and Asia. However, proposals from other
regions will be considered, especially if they offer good opportunities
for co-location with other relevant conferences.
------------------------------------------------------------------------
Date: Thu, 13 Oct 2005 08:29:28 +0200 (CEST)
From: Samy Bengio <[EMAIL PROTECTED]>
To: [EMAIL PROTECTED]
Subject: PhD Student Positions in Machine Learning at IDIAP
The IDIAP Research Institute seeks two qualified candidates for PhD
student positions in machine learning.
The objective of the first project is to develop novel kernel based
algorithms for the analysis of sequences of high level events, such as
automatic speech recognition. State-of-the-art systems are based on
generative Hidden Markov Models. On the other hand, recent machine
learning research have shown promising results in kernel based large
margin discriminant models such as Support Vector Machines which
maximize the margin between positive and negative examples. More
recently, new kernels were proposed for various time-series tasks.
The objective of this project is to study how these kernels could be
modified in the context of more complex temporal tasks such as speech
and video understanding.
The objective of the second project is to develop novel machine
learning algorithms for multi-channel sequence processing. Modeling
jointly several sources of information (recorded from several cameras,
microphones, etc) has several practical applications, including
audio-visual speech recognition, multimodal person tracking, or
complex scene analysis. Several machine learning models have already
been proposed for such task, mainly for the case of two channels. The
goal of this project is to propose theoretical and applied solutions
for the case of more than two (potentially asynchronous) channels.
Generative (Markovian based) models as well as margin-based models
will be considered for the task.
The ideal candidates will hold a degree in computer science, statistics,
or related fields. She or he should have strong background in statistics,
linear algebra, signal processing, C++, Perl and/or Python scripting
languages, and the Linux environment. Knowledge in statistical machine
learning and speech processing is an asset.
Appointment for a PhD position is for a maximum of 4 years, provided
successful progress, and should lead to a dissertation. Annual gross
salary ranges from 36,000 Swiss Francs (first year) to 40,000 Swiss
Francs (last year). Starting date is immediate. Although IDIAP is
located in the French part of Switzerland, English is the main working
language. Free English and French lessons are provided.
Interested candidates should send a letter of motivation, along with
their detailed CV and names of 3 references to [EMAIL PROTECTED] More
information can also be obtained by contacting Samy Bengio.
Samy Bengio
Senior Researcher in Machine Learning
IDIAP, CP 592, rue du Simplon 4, 1920 Martigny, Switzerland
tel: +41 27 721 77 39, fax: +41 27 721 77 12
http://www.idiap.ch/~bengio
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Date: Fri, 14 Oct 2005 14:43:03 +0200
From: Gianluca Bontempi <[EMAIL PROTECTED]>
To: [email protected]
Subject: Research Position in Machine Learning at ULB, Brussels
A junior research position is available at the Machine Learning Group,
ULB, Universite Libre de Bruxelles, Belgium. The research project will
focus on the development of statistical machine learning algorithms
for facilitating knowledge discovery in medical data.
Details available at http://www.ulb.ac.be/di/mlg/researchPosition.html
For more information, contact Gianluca Bontempi at [EMAIL PROTECTED]
Gianluca Bontempi
Universite Libre de Bruxelles
Departement d'Informatique
Machine Learning Group
Boulevard du Triomphe - CP212
1050 Bruxelles, Belgium
Office Phone: +32-2-650 55 91
Fax: +32 2 650.56.09
web: http://www.ulb.ac.be/di/mlg
------------------------------------------------------------------------
Date: Mon, 24 Oct 2005 08:05:27 -0700
From: Thomas G. Dietterich <[EMAIL PROTECTED]>
To: [email protected]
Subject: Postdoctoral Positions at Oregon State University
Postdoctoral Positions at Oregon State University
School of Electrical Engineering and Computer Science
One or more Research Associate positions in the machine learning,
computer graphics, and computer vision groups starting January 2006.
Required qualifications include a Ph.D. in computer science or related
field; strong mathematical background; experience with at least 3 of
the following:
(a) knowledge representation frameworks (logical and probabilistic)
(b) reasoning methods (logical and probabilistic)
(c) experimental machine learning research
(d) planning and reasoning algorithms
(e) virtual environments for training
(f) computer vision for object recognition and tracking
(g) augmented reality
AND
-excellent written and spoken communication skills;
-excellent programming and software engineering skills;
-excitement about computer science research;
-and the ability to manage graduate and undergraduate students
working on research projects
Position is full-time, 12 month, fixed term with reappointment at the
discretion of the hiring official.
For full consideration, applications must be received by 11/15/05.
Send resume, letter of interest, evidence of 2 relevant publications
and 3 professional references with address and phone number to:
Research Associate Search
1148 Kelly Engineering Center
Corvallis, OR 97331-5501.
For full position announcement see: http://oregonstate.edu/jobs
For other inquires contact Thomas G. Dietterich ([EMAIL PROTECTED]).
OSU is an AA/EOE.
------------------------------------------------------------------------
Date: Thu, 03 Nov 2005 12:46:22 -0700
From: Chuck Anderson <[EMAIL PROTECTED]>
To: [email protected]
Subject: Tenure-track Faculty Position at Colorado State University
Tenure-track faculty position in Department of Computer Science at
Colorado State
The candidate is expected to teach undergraduate and graduate courses in
computer science, advise undergraduate and graduate students, perform
research, and make a service contribution to the department, university,
and professional community.
A successful candidate must:
- Have earned a doctorate in computer science, computer engineering,
or a related field.
- Have the potential for excellence in research and teaching.
- Have a research perspective that is consistent with the department's
emphasis on collaborative and interdisciplinary research.
- Have a research specialty that is consistent with the department's
needs and interests.
Candidates for appointments above the level of assistant professor must
demonstrate a strong connection to ongoing department research.
This nine-month, full-time position will carry a salary commensurate
with qualifications. This appointment will be preferably made at the
level of assistant professor. The department has 18 tenure-track
faculty, 150 M.S. and Ph.D. students, and 275 undergraduate majors.
Areas of research emphasis include artificial intelligence
(bioinformatics, computer vision, evolutionary computation, machine
learning, planning), software engineering (formal methods, program
comprehension, reliability, testing), networks, parallel and
distributed computing (embedded systems, reconfigurable
architectures), and security.
Colorado State University with an enrollment of 25,000 students is
located in Fort Collins, Colorado, an attractive community of over
134,000 people, at the base of the Front Range of the Rocky Mountains,
65 miles north of Denver. The northern Front Range offers a wide range
of outdoor recreational activities. More information about the
department, its research programs, and applying for this position can
be obtained from the department's home page at:
http://www.cs.colostate.edu.
------------------------------------
End of ML-LIST Digest Vol 17, No. 5
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