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Machine Learning List Vol. 3 No. 22
Machine Learning List: Vol. 3 No. 22
Thursday, Dec. 12, 1991
Contents:
Deadline For IML-92
FTP'ng papers from The Institute for the Learning Sciences
WORKSHOP ON MACHINE LEARNING AT AI'92
Machine learning for image processing
The Machine Learning List is moderated. Contributions should be relevant to
the scientific study of machine learning. Mail contributions to ml@ics.uci.edu.
Mail requests to be added or deleted to ml-request@ics.uci.edu. Back issues
may be FTP'd from ics.uci.edu in pub/ml-list/V<X>/<N> or N.Z where X and N are
the volume and number of the issue; ID: anonymous PASSWORD: <your mail address>
------------------------------
Date: Sat, 7 Dec 91 16:51:22 GMT
From: Derek Sleeman <sleeman@computing-science.aberdeen.ac.UK>
Subject: IML-92 Deadline for Papers
IML92 Paper DEADLINE reminder
4 copies of the hard copy of the paper should arrive on or before the 9th
JANUARY (FAXes and Email versions can not be accepted). The address for
submission is:
Derek SLEEMAN (ML92 Paper)
Department of Computing Science
The University of ABERDEEN
ABERDEEN, AB9 2UB
SCOTLAND UK
Telephone: +44 224 272288/96
email: sleeman@csd.abdn.ac.uk and ml92@csd.abdn.ac.uk
[Other Deadlines:
AAAI Jan 15, 1992
COLT Feb 10, 1992
Cognitive Science March 2-
Mike]
------------------------------
Date: Wed, 11 Dec 91 17:54:14 CST
From: Bruce Krulwich <krulwich@zowie.ils.nwu.EDU>
Subject: FTP directory for papers from The Institute for the Learning Sciences
We've set up an anonymous FTP directory for papers here at ILS. It consists
mainly of papers that have appeared in or been submitted to various
conferences and workshops. Papers are in compressed postscript format. The
instructions for FTPing are the usual, with the following details:
Host: ils.nwu.edu (129.105.100.1)
Login: anonymous
Password: anonymous
Directory: pub/papers
The following are some of the papers that may be interesting to machine
learning people. Other areas of emphasis are planning and case-based
reasoning. The complete list is in the README file. Papers are likely to be
added over the next few months during the conference-submission season. Send
e-mail to krulwich@ils.nwu.edu with any questions. Enjoy!
File: bk_cs91.ps.Z
Title: Determining what to learn in a multi-component planning system
Author: Bruce Krulwich
Appears in: Proceedings of the 1991 Cognitive Science conference,
pp. 102-107
File: bk_ml91.ps.Z
Title: Learning from deliberated reactivity
Author: Bruce Krulwich
Appears in: Proceedings of the 1991 Machine Learning workshop, pp. 318-322
File: bk_symp92.ps.Z
Title: Reasoning about Multiple Uses of Learned Concepts
Authors: Bruce Krulwich, Lawrence Birnbaum, and Gregg Collins
Submitted to: 1992 AAAI Spring Symposium on Knowledge Assimilation
File: gc_mbr91.ps.Z
Title: A Model-Based Approach to Learning from Planning Failures
Authors: Gregg Collins, Lawrence Birnbaum, Bruce Krulwich,
and Michael Freed
Appears in: Notes of the 1991 AAAI Workshop on Model-Based Reasoning
File: gc_symp91.ps.Z
Title: Model-Based Integration of Planning and Learning
Authors: Gregg Collins, Lawrence Birnbaum, Bruce Krulwich,
and Michael Freed
Appears in: SIGART Bulletin, 1991, vol 2, number 4, pp. 56-60.
Originally in Working notes of the 1991 AAAI Spring Symposium
on Integrated Intelligent Architectures, pp. 43-47.
File: lb_cbr91.ps.Z
Title: A Model-Based Approach to the Construction of Adaptive Case-
Based Planning Systems
Authors: Lawrence Birnbaum, Gregg Collins, Matthew Brand, Michael
Freed, Bruce Krulwich, and Louise Pryor
Appears in: Proceedings of the 1991 Case-Based Reasoning Workshop,
pp. 215-225
------------------------------
From: Stan Matwin <stan@csi.uottawa.ca>
Subject: WORKSHOP ON MACHINE LEARNING AT AI'92
Date: Thu, 12 Dec 91 9:41:59 EST
Announcement and Call for Papers
Machine Learning is one of the fast growing areas of Artificial
Intelligence. There is a number of people involved in Machine
Learning research in Canada. The goal of the workshop is to provide a
forum where Canadian researchers can exchange information about their
current and future projects, possibilities of collaboration, graduate
opportunities, applications, etc. Anyone active in the applications
or theoretical or experimental studies of machine learning and related
fields such as genetic algorithms, case-based reasoning and neural
nets is invited to participate. The emphasis of the workshop will be
on informal communication and exchange, hence no proceedings are
planned.
The workshop will be held May 12, 1992, in Vancouver, in conjunction
with AI'92, the Ninth Biennial conference of the Canadian Society for
Computational Studies of Intelligence (CSCSI).
The workshop will consist of presentations, discussions, and a panel on
applications of machine learning.
Attendance at the workshop will be by invitation only. Persons
interested in attending are requested to submit a short (maximum 500
words) description of their current work in Machine Learning. Those
interested in making a presentation should also submit an extended
abstract (maximum 2000 words) describing the proposed presentation. A
selection of the submitted material will be distributed to all
workshop attendees.
The organizers also invite suggestions for discussion topics. All
submissions are due on February 15, 1992, and should be sent to:
Robert Holte
Computer Science Department
University of Ottawa
Ottawa, Ontario
CANADA K1N 6N5
email: holte@csi.uottawa.ca
phone: (613)-564-9194
FAX: (613)-564-9486
Organizing Committee:
Robert Holte (holte@csi.uottawa.ca)
Computer Science Department, University of Ottawa
Charles Ling (ling@csd.uwo.ca)
Computer Science Department, University of Western Ontario
Stan Matwin (stan@csi.uottawa.ca)
Computer Science Department, University of Ottawa
--
Stan Matwin Department of Computer Science
email: stan@csi.uottawa.ca University of Ottawa
phone: (613) 564-5069 Ottawa, Ont.
fax: (613) 564-9486 K1N 6N5 Canada
------------------------------
From: Monika Sester <monika@ifp.bauingenieure.uni-stuttgart.dbp.de>
Subject: Machine Learning for image processing
Date: 06 Dec 91 16:18:39+0200
I am interested in literature/people dealing with machine learning in
image processing. My specific interest is in learning models of
objects, in order to recognize these objects in digital images.
Because I am a photogrammetrist, the kind of objects I am dealing with
are cultural ones, namely streets, houses, agricultural fields, etc.
to be recognized in aerial images.
I'm looking forward to any information.
monika
Monika Sester
Institut of Photogrammetrie
University of Stuttgart
Keplerstrasse 11
7000 Stuttgart 1
Germany
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END of ML-LIST 3.22
