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Machine Learning List Vol. 3 No. 05
Machine Learning List: Vol. 3 No. 5
Monday, April 1, 1991
Contents:
MBR + EBL
Preliminary Announcement for IML-92
MSL-91 annoucement
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From: Fred Tusveld <hcsrnd!tusveld@relay.EU.NET>
Subject: MBR + EBL
I will be engaged with a project where we'll try to use a combination
of EBL and MBR (Model Based Reasoning) to refine a KB used for
diagnosis. The domain is : remote experiment support, whereby the
user communicates with experiments that are executed in space. (As a
part of the Columbus programme.)
In MBR domains, domain theories are usually quite rich. Therefore,
combining EBL and MBR might be fruitful.
I found a couple of references to ACES (a.o. in AAAI-86,in Kodratoff's
Machine Learning III). I'm curious as to if there is more activity
going on in combining MBR and EBL. Can anyone point out such activity,
or relevant references?
Thanks in advance,
Regards,
Fred Tusveld
HCS Technology, Industrial Automation, R&D
Landdrostlaan 51, 7302 HA Apeldoorn The Netherlands
tel. +31 55 498600
tusveld@hcsrnd.uucp.nl
or hcsrnd!tusveld@relay.EU.net
------------------------------
Message-Id: <9103291431.AA03543@eagle>
Subject: Preliminary Announcement for IML-92
PRELIMINARY ANNOUNCEMENT
Ninth International Conference on Machine Learning
Aberdeen, Scotland
1 - 3 July 1992
Program Chairman: D Sleeman
Local Chairman: P Edwards
Likely deadline for paper submissions: Early January 1992
Detailed arrangements, call for papers, etc. will be announced in June 1991.
Contact information:
IML-92 Tel. +44 (0)224 272296
Department of Computing Science Fax +44 (0)224 487048
King's College JANET ml92@uk.ac.abdn.cs
University of Aberdeen Internet ml92%cs.abdn@nsfnet-relay.ac.uk
Aberdeen, AB92UB EARN/BITNET ml92%cs.abdn.ac.uk@UKACRL
SCOTLAND UUCP ml92%cs.abdn.ac.uk@ukc.uucp
------------------------------
From: "Ryszard S. Michalski" <michalsk@aic.gmu.EDU>
Subject: MSL-91 annoucement
CALL FOR PAPERS AND/OR PARTICIPATION
INTERNATIONAL WORKSHOP ON MULTISTRATEGY LEARNING
November 7-9, 1991
Hilltop Inn, Harpers Ferry, West Virginia
With the rapid diversification of machine learning methods and paradigms,
there is a growing interest in understanding their mutual interrelationships,
relationships to human learning, and in using this understanding to develop
multistrategy learning systems. Such systems employ more than one strategy
or paradigm in a learning process, and can potentially offer significant
advantages over single-strategy systems. As they are more flexible as to the
type of input they can learn from, and the type of knowledge they can
acquire, they could potentially be applied to a wider range of applications.
The purpose of this workshop is to provide a forum for researchers working
in these areas to discuss and present their results. Topics of interest
include, but are not limited to, the following:
o comparative studies of learning strategies and paradigms
o comparisons of human and machine learning
o theories of learning and analysis of their interrelationships
o methods and architectures for learning systems that integrate various
combinations of strategies and/or paradigms, e.g., empirical and analytical
learning, empirical induction with abstraction, abduction and/or analogy,
constructive induction and plausible reasoning, quantitative and qualitative
discovery, symbolic c.
o applications of multistrategy learning systems.
The workshop will be held in picturesque and historical Harpers Ferry, at the
intersection of Virginia, West Virginia and Maryland. Harpers Ferry is easily
accessible from Dulles airport and from the Washington, D.C. railway station.
To maintain a workshop atmosphere, the attendance will be limited to
approximately 60 participants. The workshop is sponsored by the Office of
Naval Research and organized by George Mason University.
PROGRAM COMMITTEE:
Jaime Carbonell, Carnegie Mellon University
Yves Kodratoff, University of Paris-South and GMU
Stan Matwin, University of Ottawa
Doug Medin, University of Michigan
Ryszard Michalski, George Mason University
Katharina Morik, GMD, Bonn
Mike Pazzani, University of California at Irvine
Lorenza Saitta, University of Torino
Jude Shavlik, University of Wisconsin
George Tecuci, George Mason University and CNI
Brad Whitehall, University of Illinois
David C. Wilkins, University of Illinois
Jianping Zhang, Utah State University
ORGANIZING COMMITTEE:
Ryszard Michalski, Center for Artificial Intelligence, George Mason University
Yves Kodratoff, University of Paris-South and George Mason University
Stan Matwin, Department of Computer Science, University of Ottawa
George Tecuci, Center for AI, GMU and Romanian Center for Informatics (CNI)
Mike Tanner, Center for Artificial Intelligence, George Mason University
SUBMISSIONS:
If you would like to present a paper, send an abstract, or if you would like
only to participate, send a brief description of your research.
Submissions should arrive no later than May 10, 1991, by email, fax or
regular mail, and should be addressed to:
Ryszard S. Michalski (MSL-91)
Center for Artificial Intelligence,
George Mason University,
Fairfax, VA 22030-4444
Email: MSL-91@aic.gmu.edu
Fax: (703) 323-4107
Tel: (703) 764-6259
Responses will be sent by May 31.
Full papers are due by August 2.
Acceptance notifications will be sent by September 2.
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END of ML-LIST 3.5
