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CoIL Competitition - Deadline extended to 15 June 1999
[Please accept my apologies if you see this multiple times]
Dear Colleagues,
The deadline for the Computational Intelligence and Learning Competition
has been extended by a few days - for details, please see below.
Best wishes,
Mark Plumbley
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Dr Mark Plumbley mark.plumbley@kcl.ac.uk |_/ I N G'S
Centre for Neural Networks | \ College
Department of Electronic Engineering L O N D O N
King's College London, Strand, London, WC2R 2LS, UK Founded1829
Tel: +44 (0)171 848 2241, Fax: +44 (0)171 848 2932
World Wide Web URL: http://www.eee.kcl.ac.uk/~mdp
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Computational Intelligence and Learning (CoIL) Competitition 1999
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[Deadline extended to 15 June 1999]
Is your water safe?
There is increased concern at the impact man is having on the
environment. In temperate climates, summer algae growth can result in
poor water clarity, mass deaths of river fish and the closure of
recreational water facilities. To understand this problem, there is a
need to identify the crucial chemical control variables for the
biological processes. This is the subject of the first Computational
Intelligence and Learning (CoIL) competition.
CoIL is an EC-funded Cluster of Networks of Excellence (NoEs), formed
in Jan 1999 as a collaboration between ERUDIT, EvoNet, MLNET and
NEuroNet, representing Fuzzy Logic, Evolutionary Computing, Machine
Learning, and Neural Computing respectively. While the techniques and
paradigms of interest to these networks are largely distinct (and
sometimes complementary), these various techniques can often be used to
tackle similar problems or be used together on the same problem.
This CoIL competition has been organised through ERUDIT, and is open to
all interested parties. ERUDIT has had very successful competitions
itself in 1996 and 1998, and the results of these illustrated how a
variety of different techniques can be used to tackle any problem.
Water quality samples were taken from sites on different European
rivers of a period of approximately one year. These samples were
analysed for various chemical substances, and algae samples were
collected to determine the algae population distributions. While the
chemical analysis is cheap and easily automated, the biological part
involves microscopic examination, requires trained manpower and is
therefore both expensive and slow.
The task of the CoIL competition is to predict the algae frequency
distributions on the basis of the measured concentrations of the
chemical substances and some global information about the season when
the sample was taken, the river size and the fluid velocity. The data
is a mixture of qualitative and numeric variables, and some of the data
is incomplete.
The detailed problem description and the data is available from
http://www.erudit.de/erudit/activitis/ic-99/index.htm or by ftp from:
FTP Server: ftp.mitgmbh.de
Username: anonymous
Password: <your email address>
Filename: /pub/problem.zip
In case of difficulty obtaining the data, contact:
ERUDIT Service Center, c/o ELITE Foundation, Promenade 9, 52076 Aachen,
Germany. Phone: +49 2408 6969, Fax +49240894582, email: sh@mitgmbh.de
A board of referees will declare a winner and a runner-up. The winners
will be invited, free of charge, to attend the EUFIT’99 conference to
present their solutions during a special session on September 14, 1999
in Aachen, Germany.
Important dates:
Apr 15, 1999: Data available
Jun 15, 1999: Deadline for submission of solutions (** Extended **)
Jul 31, 1999: Announcement of results
Sep 14, 1999: Award of winners at the EUFIT '99 conference in Aachen
Sep 14, 1999: Presentation of the best solutions
For general CoIL information, see http://www.dcs.napier.ac.uk/coil/
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