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Machine Learning List Vol. 6 No. 08
Machine Learning List: Vol. 6 No. 8
Thursday, March 17, 1994
Contents:
U.S. Census Bureau Internet Site Announcement
JAIR articles
CALL FOR PAPERS: Issue on Robot Learning, Machine Learning Journal
UNIPEN project of data exchange and recognizer benchmarks
Informatica --> Special Issue on Machine Learning --> Table of Content
Postdoctoral Fellowship available
AAAI Fall Symposium - PLANNING AND LEARNING: ON TO REAL APPLICATIONS
AI Planning Systems 94 - Call for Participation
EKAW-94
CFP: "Relevance" (AAAI Fall Symposium)
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>
----------------------------------------------------------------------
From: Tom Dietterich <tgd@chert.cs.orst.edu>
Date: Wed, 16 Mar 94 08:07:19 PST
Subject: U.S. Census Bureau Internet Site Announcement
Readers of ML-LIST might be interested in this:
From: "Brian Monsell (SRD)" <bmonsell@census.gov>
*** BETA TEST *** BETA TEST *** BETA TEST ***
The United States Bureau of the Census has opened an information
server on the internet. Please explore our service and tell us
what you think. Connect to our beta site by pointing your client
software to our universal resource locators (URL's):
http://www.census.gov/ # use with mosaic, lynx, etc
gopher://gopher.census.gov # use with gopher
ftp://ftp.census.gov/pub # use with ftp
Also, we plan to offer a majordomo mail server in the near future.
If you have problems, questions, suggestions, etc, send email to:
gatekeeper@census.gov
Please broadcast, netcast, and publish this information widely.
------------------------------
Date: Wed, 9 Mar 94 15:50:39 PST
From: Steve Minton <minton@ptolemy-ethernet.arc.nasa.gov>
Subject: JAIR articles
(Note that in early February I sent a note two other JAIR papers, one by Ling
and one by Koppel, Feldman and Segre.) Thanks! - S Minton
Readers of this newsgroup may be interested in the following two ML papers
recently published in JAIR.
Cook, D.J. and Holder, L.B. (1994)
"Substructure Discovery Using Minimum Description Length and Background
Knowledge", Volume 1, pages 231-255.
PostScript: volume1/cook94a.ps (750K)
compressed, volume1/cook94a.ps.Z (266K)
Online Appendix: volume1/cook94a-appendix.tar.Z (36K), SUBDUE source code
Abstract: The ability to identify interesting and repetitive
substructures is an essential component to discovering knowledge in
structural data. We describe a new version of our SUBDUE substructure
discovery system based on the minimum description length principle.
The SUBDUE system discovers substructures that compress the original
data and represent structural concepts in the data. By replacing
previously-discovered substructures in the data, multiple passes of
SUBDUE produce a hierarchical description of the structural
regularities in the data. SUBDUE uses a computationally-bounded
inexact graph match that identifies similar, but not identical,
instances of a substructure and finds an approximate measure of
closeness of two substructures when under computational constraints.
In addition to the minimum description length principle, other
background knowledge can be used by SUBDUE to guide the search towards
more appropriate substructures. Experiments in a variety of domains
demonstrate SUBDUE's ability to find substructures capable of
compressing the original data and to discover structural concepts
important to the domain.
Description of Online Appendix: This is a compressed tar file containing
the SUBDUE discovery system, written in C. The program accepts as
input databases represented in graph form, and will output discovered
substructures with their corresponding value.
Murphy, P.M. and Pazzani, M.J. (1994)
"Exploring the Decision Forest: An Empirical Investigation of Occam's
Razor in Decision Tree Induction", Volume 1, pages 257-275.
PostScript: volume1/murphy94a.ps (868K)
compressed, volume1/murphy94a.ps.Z (215K)
Abstract: We report on a series of experiments in which all decision
trees consistent with the training data are constructed. These
experiments were run to gain an understanding of the properties of the
set of consistent decision trees and the factors that affect the
accuracy of individual trees. In particular, we investigated the
relationship between the size of a decision tree consistent with some
training data and the accuracy of the tree on test data. The
experiments were performed on a massively parallel Maspar computer.
The results of the experiments on several artificial and two real
world problems indicate that, for many of the problems investigated,
smaller consistent decision trees are on average less accurate than
the average accuracy of slightly larger trees.
------------------------------
Date: Thu, 17 Mar 1994 11:03-EST
From: Sebastian.Thrun@b.gp.cs.cmu.edu
Subject: CALL FOR PAPERS: Issue on Robot Learning, Machine Learning Journal
Special Issue on ROBOT LEARNING
Journal MACHINE LEARNING
(edited by J. Franklin and T. Mitchell and S. Thrun)
This issue focuses on recent progress in the area of robot learning.
The goal is to bring together key research on machine learning
techniques designed for and applied to robots, in order to stimulate
research in this area. We particularly encourage submission of
innovative learning approaches that have been successfully implemented
on real robots.
Submission deadline: October 1, 1994
Papers should be double spaced and 8,000 to 12,000 words in length, with
full-page figures counting for 400 words. All submissions will be
subject to the standard review procedure. It is our goal to also publish
the issue as a book.
Send three (3) copies of submissions to:
Sebastian Thrun
Universitaet Bonn
Institut fuer Informatik III
Roemerstr. 164
D-53117 Bonn
Germany
phone: +49-228-550-373
Fax: +49-228-550-382
E-mail: thrun@cs.bonn.edu, thrun@cmu.edu
Also mail four (5) copies of submitted papers to:
Karen Cullen
MACHINE LEARNING Editorial Office
Kluwer Academic Publishers
101 Philip Drive
Norwell, MA 02061 USA
phone: (617) 871-6300
E-mail: karen@world.std.com
Note: Machine Learning is now accepting submission of final copy in
electronic form. There is a latex style file and related files
available via anonymous ftp from world.std.com. Look in
Kluwer/styles/journals for the files README, smjrnl.doc, smjrnl.sty,
smjsamp.tex, smjtmpl.tex, or smjstyles.tar (which contains them all).
------------------------------
Date: Fri, 11 Mar 94 13:49:44 EST
From: Isabelle Guyon <isabelle@neural.att.com>
Subject: UNIPEN project of data exchange and recognizer benchmarks
- > - > - > - > - > - > - > - > - < - < - < - < - < - < - < - < - < -
- > UNIPEN project of data exchange and recognizer benchmarks < -
- > - > - > - > - > - > - > - > - < - < - < - < - < - < - < - < - < -
Isabelle Guyon and Lambert Schomaker
- > - > - > - > - > - < - < - < - < - < - < -
March 1994
Content:
I - UNIPEN ftp site.
II - Scrib-L mailing list.
III - Tentative schedule for the first UNIPEN benchmark.
IV - Information on the IAPR and the Technical Committee 11.
V - Information on the Linguistic Data Consortium.
VI - Information on the US National Institute of Standards and Technologies.
VII - Wish list.
Abstract:
UNIPEN is a project of data exchange and benchmarks for on-line
handwriting recognition, started at the initiative of the technical
committee 11 of the IAPR. The data of concern may include handprint
and cursive from various alphabets, signatures and gestures
captured by a digitizing device providing the pen trajectory.
Several tens of companies and universities have already joined
UNIPEN and participated in defining a standard data format.
These data will be provided by the participants in this common
data format and distributed by the Linguistic Data Consortium (LDC)
We have the pleasure to confirm that a benchmark organized by the
US National Institute of Standards and Technologies (NIST) will take
place this year. It will be restricted to the Latin alphabet.
Subscription:
To subscribe to this news letters, please the following information to:
isabelle@neural.att.com
Name:
Affiliation:
Address:
Phone:
Fax:
Email:
------------------------------
Date: Thu, 10 Mar 1994 21:36:42 -0600
From: paprzycki_m@gusher.pb.utexas.edu
Subject: Informatica --> Special Issue on Machine Learning --> Table of Content
Enclosed you will find the table of content of Informatica
Vol. 17, No. 4. SPECIAL ISSUE edited by: Gheorghe Tecuci
MULTISTRATEGY LEARNING
For more information about the journal, please contact:
Marcin Paprzycki
paprzycki_m@gusher.pb.utexas.edu
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
INFORMATICA an International Journal of Computing and Infornatics
Volume 17 Number 4 --> Multistrategy Learning
Table of contents:
Profiles: Gheoghe Tecuci 325
Multistrategy Approaches to Learning: Gheorghe Tecuci 327
Why and How
A Multistrategy Learning Scheme for D. Gordon 331
Agent Knowledge Acquisition D. Subramanian
Multistrategy Learning in Reactive A. Ram 347
Control Systems for Autonomous J.C. Santamaria
Robotic Navigation
Combining Knowledge-based and G. Widmer 371
Instance-based Learning to Exploit
Qualitative Knowledge
Extending Theory Refinement of P.T. Baffes 387
M-of-N Rules R.J. Mooney
Multitype Inference in Multistrategy M.R. Hieb 399
Task-Adaptive Learning: Dynamic R.S. Michalski
Interlaced Hierarchies
Reports and Announcements 413
------------------------------
Date: Sun, 13 Mar 94 14:48:36 MST
From: Melanie Mitchell <mm@santafe.edu>
Subject: Postdoctoral Fellowship available
JOB AVAILABLE:
INTERVAL RESEARCH POSTDOCTORAL FELLOWSHIP IN ADAPTIVE COMPUTATION
AT THE SANTA FE INSTITUTE
The Santa Fe Institute has an opening for a Postdoctoral Fellow in
Adaptive Computation beginning in September, 1994. The position is
sponsored by Interval Research Corporation. The fellowship will last
for one-to-two years.
The Institute's research program is devoted to the study of complex
systems, especially complex adaptive systems. SFI's Adaptive
Computation program is an interdisciplinary effort focusing on
computational aspects of the study of complex adaptive systems. Its
purpose is to make fundamental progress on issues in computer science
that are related to complex adaptive systems, and to export the
results to researchers in other fields. These issues include both
computational models of complex adaptive systems and theory and
application of adaptive algorithms inspired by natural systems.
Systems and techniques currently under study at the Santa Fe Institute
include genetic algorithms, classifier systems, neural networks, and
other adaptive computation techniques; the immune system; biomolecular
sequence and structure; the origin of life; artificial life; models of
evolution; the physics of information; nonlinear modeling and
prediction; the economy; and others.
Candidates should have a Ph.D. (or expect to receive one before
September, 1994) and should have backgrounds in computer science,
mathematics, economics, theoretical physics or chemistry, game theory,
cognitive science, theoretical biology, dynamical systems theory, or
related fields. A strong background in computational approaches is
essential, as is an interest in interdisciplinary work. Evidence of
these interests, in the form of previous research experience and
publications, is helpful.
Applicants should submit a curriculum vitae, list of publications, and
statement of research interests, and arrange for three letters of
recommendation to be sent. Incomplete applications will not be
processed.
All application materials must be received by April 15, 1994.
Decisions will be made in early May.
Send applications to: Interval Research Postdoctoral Committee,
Santa Fe Institute, 1660 Old Pecos Trail, Suite A, Santa Fe, New Mexico
87501. Applications or inquiries may also be sent by electronic mail
to: postdoc@santafe.edu. SFI is an equal opportunity employer.
------------------------------
Date: Wed, 16 Mar 1994 18:28:06 -0800
From: Yolanda Gil <gil@isi.edu>
Subject: AAAI Fall Symposium - PLANNING AND LEARNING: ON TO REAL APPLICATIONS
CALL FOR PAPERS
1994 AAAI Fall Symposium
November 4-6, 1994
New Orleans, LA
Planning and learning research has been progressing in parallel over
the past several years, but very few research projects have bridged
the two areas. However, there is a great deal of benefit from their
interaction, especially when they are concerned with real
applications. As the complexity of planning problems increases, it
becomes of particular interest to identify learning opportunities in
order to automate the acquisition of a planner's knowledge in new
applications. At the same time, planning problems are a useful
testbed and a source of challenges for learning research. The goal of
this symposium is to discuss the implications of practical planning
applications on both learning and planning research.
The symposium will highlight empirical work on practical problems as
an invaluable source for understanding the complexity of the planning
task. We expect the analysis and discussion of practical domains to be
a solid basis for turning formal planning and learning algorithms into
efficient practical ones. As a desirable side effect of the
symposium, we also envision the emergence of an initial comparative
insight into different planning and learning algorithms from a
practical standpoint. In particular we would like to discuss
characterizations of application domains, comparisons of performance
of different planners on the same task, and practical limitations or
power of an approach.
Specific topics of interest for the symposium include:
- Practical problems: What makes practical real problems different
from simplified simulated tasks? What are the implications of
practical problems for specific planning algorithms? What are
the learning opportunities for specific planning algorithms to
handle practical problems efficiently?
- Learning and knowledge acquisition: What learning algorithms
were developed or extended to address needs of the application? What
tools help extend and maintain planning knowledge?
- Learning, planning efficiency, and plan quality: What are learning
opportunities for a planning algorithm? How can a planner improve its
efficiency based on its past experience? What are measures of plan
quality in real applications? How can a planner improve the quality
of the solutions it generates?
- Scaling up: How well does the approach behave in tasks and problems
of increasing size and complexity? What issues need to be
addressed and what extensions to the framework are demanded
by particular applications?
- Domain features: What features of a practical domain stretch the
representation language of a planner? What dimensions can be
used to characterize and compare application domains? How can
search spaces be characterized in terms of the application?
We encourage submissions and participation of theoretical planning
researchers interested in understanding more practical planning
problems and the impact of learning in their algorithms, as well as
contributions on practical planning applications that shed light on
the challenging issues for learning, knowledge acquisition, and
representation in planning domains. We especially welcome position
papers that present discussions of issues relevant to the workshop as
well as those written by teams with complementary research interests.
The symposium will consist of presentations, invited talks, and
discussion sessions. In order to encourage participation in the
discussions, the organizing committee will put together a list of
issues of concern from the submissions, and distribute it to the
participants in advance.
To participate, please submit an extended abstract (up to five pages).
Abstracts should be received by April 15, 1994. Authors of accepted
abstracts will be invited (but not required) to submit a longer paper
for publication in the working notes. Those interested in attending
should submit a one- to two-page research statement and a list of
relevant publications. Please include your email address in all
submissions. Submit four hard copies to:
Yolanda Gil
Information Sciences Institute
University of Southern California
4676 Admiralty Way
Marina del Rey, CA 90292
(310) 822-1511
(310) 823-6714 (fax)
gil@isi.edu
Organizing Committee:
Steve Chien, Jet Propulsion Laboratory, chien@aig.Jpl.Nasa.Gov;
Yolanda Gil (co-chair), USC/Information Sciences Institute, gil@isi.edu;
Drew McDermott, Yale University, mcdermott-drew@cs.yale.edu;
Dana Nau, University of Maryland, nau@cs.umd.edu;
Manuela Veloso (co-chair), Carnegie Mellon University, veloso@cs.cmu.edu.
Important dates:
April 15, 1994 Extended abstracts due
May 17, 1994 Notification of acceptance mailed
September 1, 1994 Final versions of accepted papers due
November 4-6, 1994 Symposium
------------------------------
From: AIPS-94@cs.uchicago.edu
Date: Thu, 10 Mar 94 16:08:28 CST
Subject: AI Planning Systems 94 - Call for Participation
************* CALL FOR PARTICIPATION *************
SECOND INTERNATIONAL CONFERENCE
ON
AI PLANNING SYSTEMS
The University of Chicago
Chicago, Illinois
June 13th - 15th, 1994
*** NOTE DATE CHANGE ***
*******************************************
CONFERENCE CHAIR
Austin Tate - University of Edinburgh
PROGRAM CHAIR
Kristian Hammond - University of Chicago
INVITED SPEAKERS
Ken Forbus - Institute of Learning Sciences
Drew McDermott - Yale University
INVITED PANELS
Planning and Learning - Manuela Veloso, CMU
Planning and Perception - Michael Swain, U Chicago
Planning and Understanding - Bonnie Webber, U. Penn
*******************************************
We are pleased to invite participation in the Second International
Conference on AI Planning Systems, to be held at The University of
Chicago, June 13th - 15th, 1994.
This conference will be aimed at bringing together researchers
attacking different aspects of the planning problem and related
issues. The conference will include talks, demonstrations, and
posters relating to a wide variety of issues in planning and
execution. This year's conference will also include panels aimed at
illuminating the links between planning systems and other areas of AI.
TIME AND PLACE
The Conference will take place Monday, June 13th - Wednesday, June
15th, 1994, at The University of Chicago, Chicago, Illinois. There
will also be a reception at the Conference Hotel during registration
on the evening of Sunday the 12th.
REGISTRATION FORM
NAME: ___________________________________________________________
AFFILIATION: ____________________________________________________
STREET ADDRESS: _________________________________________________
CITY: _____________________ STATE: _____________ ZIP:________
COUNTRY: ________________
PHONE: _________________ EMAIL: _______________________________
AAAI MEMBERSHIP NUMBER: ________________ (needed for AAAI discount)
Full payment in U.S. dollars must accompany the registration form.
Credit cards can not be accepted. Make checks payable to the The
University of Chicago/AIPS-94. Payment and the completed registration
form should be sent to:
AIPS-94
c/o Kristian Hammond
Department of Computer Science
University of Chicago
1100 East 58th Street
Chicago, IL 60637
Check Appropriate Fee:
STATUS Before 5/20 After 5/20
AAAI Member $160 $190
Non-Member $180 $210
Student $ 75 $ 95
Students must include photocopies of student IDs to qualify for
student status.
The registration fee covers conference attendance, a copy of the
proceedings, and all receptions and breaks.
HOTEL REGISTRATION
AIPS-94 is using the Ramada Inn Lake Shore for conference housing.
The hotel is close to campus and transportation between the hotel to
the conference site will be provided.
A block of rooms for the conference has been reserved from Sunday,
June 12th through Wednesday, June 15th. Rooms must be booked before
May 22nd to guarantee availability.
Rates are as follows:
SINGLE: $62 per night. QUAD: 82 per night.
DOUBLE: 62 per night. SUITE: 135 per night.
TRIPLE: 72 per night.
Reservations can be made directly by calling the Hotel directly at:
(800) 237-4933 or (312) 288-5800. Conference attendants should
identify themselves as being with the "Planning Conference".
INFORMATION
For any further information, write to:
AIPS-94
c/o Kristian Hammond
Department of Computer Science
University of Chicago
1100 East 58th Street
Chicago, IL 60637
or send email to:
AIPS-94@cs.uchicago.edu
------------------------------
Date: Thu, 17 Mar 94 12:19:33 +0100
From: Walter Van De Velde <walter@arti17.vub.ac.be>
Subject: EKAW-94
FINAL ANNOUNCEMENT AND
CALL FOR PAPERS
8th European Knowledge Acquisition Workshop
EKAW-94
Hoegaarden, Belgium
September 26 - 29, 1994
The European Knowledge Acquisition Workshops are concerned
with all aspects of elliciting, acquiring and modeling
knowledge, its role in the construction of knowledge systems
and for enhancing knowledge use in organizations. Papers are
invited on relevant topics, including but not restricted to:
* Languages and frameworks for knowledge and knowledge
modeling
* Tools and techniques for knowledge modeling
* Tools and techniques for sustained knowledge acquisition,
knowledge refinement and knowledge validation.
* Integration of knowledge acquisition with other
techniques, such as learning systems.
* Fundamental views on knowledge that affect the knowledge
acquisition process and the use of knowledge in knowledge
engineering.
* Integration of knowledge acquisition techniques within a
single system; integration of knowledge acquisition systems
with other systems (hypermedia, database management systems,
simulators, spreadsheets).
* Methods and techniques for reuse of knowledge and
knowledge models, in particular related to the construction,
maintenance and use of supporting libraries.
Workshop attendance will be limited to 40 participants, one
author for each paper accepted. The duration of the workshop
will be 4 days. It consists of invited talks, plenary
sessions and working groups on selected issues. Authors are
invited to formulate an issue that would be useful to
discuss. Software demonstrations related to presented papers
are also encouraged.
SUBMISSION OF PAPERS
Paper submission:
*****
Four copies of a full-length paper (up to 20 pages) should
be sent to Luc Steels (see address below) before March 28, 1994.
Electronic submission:
**********
A Postscript version of a full-length paper (up to 20 pages)
should be sent to ekaw@arti.vub.ac.be, before March 28, 1994.
mentioning 'paper submission' as subject.
Authors are encouraged to use LaTeX or TeX for the
preparation of their manuscript. They may obtain the style
files llncs (LaTeX) or plncs (TeX) corresponding to the
instructions of the publisher from the server
svserv@vax.ntp.springer.de: sending h e l p or g e t
/tex/latex/llncs.zip (or get /tex/plain/plncs.zip) prompts
either advice on how to use the mail server or direct
transmission of the LaTeX (or TeX) style files. In case of
problems in getting or UU-decoding the style files
compressed for transmission please contact
spinger@vax.ntp.springer.de
Both paper and electronic submission should be NOTIFIED by a
mailmessage (cfr. form below). Authors who intend to submit
a paper are encouraged to notify the organizing committee by
returning the form below.
Acceptance notices will be mailed by May 30,1994.
Camera-ready copies should be prepared preferably in LaTeX
using the llcn style file (cfr. editor's instructions).
This final manuscript should be returned in electronic form
before July 7, 1994.
The proceedings will be published by Springer Verlag and
distributed at the workshop.
CHAIRS and ORGANIZING COMMITTEE
Luc STEELS Guus SCHREIBER
AI Laboratory SWI
Vrije Universiteit Brussel University of Amsterdam
Axel van Lamsweerde
Unite Informatique
Universite Catholique Louvain-la-Neuve
Walter VAN DE VELDE
Sabine GELDOF
Brigitte HOENIG
Artificial Intelligence Laboratory
Vrije Universiteit Brussel
Pleinlaan 2, B-1050 Brussels
Tel: +32 2 641 37 00
Fax: +32 2 641 37 29
Email: ekaw@arti.vub.ac.be
INTERNATIONAL PROGRAM COMMITTEE
Thomas R. ADDIS, University of Reading (GB)
Klaus-Dieter ALTHOFF, University Kaiserslautern (G)
Nathalie AUSSENAC, IRIT- CNRS, Toulouse (F)
John BOOSE, Fred Hutchinson Cancer Research Center, Seattle
(USA)
Guy BOY, EURISCO, Toulouse (F)
Jeffrey BRADSHAW, Boeing Comp. Services, Seattle (USA)
I. BRATKO, University of Ljubljana, Ljubjljana (Yu)
B. CHANDRASEKARAN, Ohio Univ., Columbus (USA)
William CLANCEY, Inst. for Res. on Learning (USA)
John DEBENHAM, Univ. of Technology, Sydney (Australia)
Michael FREILING, Tektronix Inc. (USA)
Jean-Gabriel GANASCIA, LAFORIA-Univ. Paris VI (F)
Thomas GRUBER, Stanford Univ., Stanford (USA)
Yves KODRATOFF, LRI - Univ. Paris Sud, Orsay (F)
Marc LINSTER, Digital Equipment Corp. (USA)
John Mc DERMOTT, Digital Equipement Corp. (USA)
Ryszard MICHALSKI, George Mason University (USA)
Riichiro MIZOGUSHI, Osaka University, Osaka (Japan)
Katharina MORIK, University of Dortmund (G)
Hiroshi MOTODA, Hitachi Advanced Research Lab. (Japan)
Mark MUSEN, Stanford University (USA)
Bruce PORTER, Univ. Of Texas, Austin (USA)
Ross QUINLAN, Sydney University, Sidney (Australia)
Alain RAPPAPORT, Neuron Data (USA)
Franz SCHMALHOFER, DFKI, Kaiserslautern (G)
Nigel SHADBOLT, Univ. of Nottingham (GB)
Mildred SHAW, Univ. of Calgary, Calgary (CA)
Ingeborg SOLVBERG, Trondheim (N)
Hirokazu TAKI, Mitsubishi Electric Corporation (Japan)
Hans VOSS, GMD, Sankt Augustin (G)
Masanobu WATANABE, NEC Corporation (Japan)
Bob WIELINGA, Univ. of Amsterdam, Amsterdam (NL)
________________________________________________________
<cut here >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
Notification of submission of a paper to EKAW'94:
I intend to / I submit a paper to EKAW'94.
The subject / title of the paper is:
<subject/title>
I suggest the following topic for discussion:
<topic>
I can give a demonstration related to the
presentation of my paper for which I need the following
equipment:
<equipment>
NAME:
ORGANIZATION:
ADDRESS:
TEL/FAX:
EMAIL:
<cut here >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
<<<<<to be returned by email to ekaw@arti.vub.ac.be>>>>>
------------------------------
Date: Fri, 11 Mar 1994 18:12:17 -0500
From: Russell Greiner <greiner@scr.siemens.com>
Subject: CFP: "Relevance" (AAAI Fall Symposium)
AAAI 1994 Fall Symposium
RELEVANCE
4-6 November 1994
The Monteleone Hotel, New Orleans, Louisiana
== Call for Participation ==
With too little information, reasoning and learning systems cannot work
effectively. Surprisingly, too much information can also cause the
performance of these systems to degrade, in terms of both accuracy and
efficiency. It is therefore important to determine what information must be
preserved, or more generally, to determine how best to cope with superfluous
information. The goal of this workshop is a better understanding of this
topic, relevance, with a focus on techniques for improving a system's
performance (along some dimension) by ignoring or de-emphasizing irrelevant
and superfluous information. These techniques will clearly be of increasing
importance as knowledge bases, and learning systems, become more comprehensive
to accommodate real-world applications.
There are many forms of irrelevancy. In many contexts (including both
deduction and induction), the initial theory may include more information than
the task requires. Here, the system may perform more effectively if certain
irrelevant *facts* (or nodes in a neural net or Bayesian network) are
ignored or deleted. In the context of learning, certain *attributes* of
each individual sample may be irrelevant in that they will play essentially no
role in the eventual classification or clustering. Also, the learner may
choose to view certain *samples* to be irrelevant, knowing that they
contain essentially no new information. Yet another flavor of irrelevance
arises during the course of a general computation: A computing process can
ignore certain *intermediate results*, once it has established that they
will not contribute to the eventual answer; consider alpha-beta pruning or
conspiracy numbers in game-playing and other contexts, or control heuristics
in derivation.
== Submission Information ==
Potential attendees should submit a one-page summary of their relevant
research, together with a set of their relevant papers (pun unavoidable).
People wishing to present material should also submit a 2000 word abstract.
We invite papers that deal with any aspect of this topic, including
characterizations of irrelevancies, ways of coping with superfluous
information, ways of detecting irrelevancies and focusing on relevant
information, and so forth; and are particularly interested in studies that
suggest ways to improve the efficiency or accuracy of reasoning systems
(including question-answerers, planners, diagnosticians, and so forth) or to
improve the accuracy, sample complexity, or computational or space requirement
of learning processes. We encourage empirical studies and cognitive theories,
as well as theoretical results.
We prefer plain-text, stand-alone LaTeX or Postscript submissions sent by
electronic mail to greiner@learning.scr.siemens.com. Otherwise, please
mail three copies to
Russell Greiner
"Relevance Symposium"
Siemens Corporate Research, Inc
755 College Road East
Princeton, NJ 08540-6632
In either case, the submission must arrive by 15 Apr 1994.
== Important Dates ==
- Submissions due 15 April 1994
- Notification of acceptance 17 May 1994
- Working notes mailed out 20 Sept 1994
- Fall Symposium Series 4-6 Nov 1994
== Organizing Committee ==
Russ Greiner (co-chair, Siemens Corporate Research,
greiner@learning.scr.siemens.com)
Yann Le Cun (AT&T Bell Laboratories)
Nick Littlestone (NEC Research Institute)
David McAllester (MIT)
Judea Pearl (UCLA)
Bart Selman (AT&T Bell Laboratories)
Devika Subramanian (co-chair, Cornell, devika@cs.cornell.edu)
== Attendance ==
The symposium will be limited to between forty and sixty participants.
In addition to invited participants, a limited number of other interested
parties will be able to register on a first-come, first-served basis.
Registration will be available by mid-July 1994. To obtain registration
information, contact AAAI at fss@aaai.org; (415) 328-3123; or
445 Burgess Drive, Menlo Park, CA 94025.
== Sponsored by ==
American Association for Artificial Intelligence
as part of the AAAI 1994 Fall Symposium Series.
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