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Machine Learning List Vol. 6 No. 03
Machine Learning List: Vol. 6 No. 3
Tuesday, January 25, 1994
Contents:
CALL FOR PAPERS - ML94
Machine Learning workshop at CSCSI conference in Banff, May 1994.
CFP ECML MLnet workshop on Theory Revision and Restructuring
Call for Papers: NEURAL NETWORKS in the CAPITAL MARKETS
New Editorial Board Members and Action Editors for Machine Learning
The Machine Learning List is moderated. Contributions should be relevant to
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----------------------------------------------------------------------
Date: Tue, 25 Jan 94 14:58 EST
From: William Cohen <wcohen@research.att.com>
Subject: CALL FOR PAPERS - ML94
CALL FOR PAPERS - ML94
Eleventh International Conference on Machine Learning
New Brunswick, New Jersey
July 10-13, 1994
The Eleventh International Conference on Machine Learning (ML94) will
be held at the New Brunswick campus of Rutgers University during July
11-13, 1994, with workshops taking place on July 10th. The
conference will be co-located with the Seventh Annual Conference on
Computational Learning Theory (COLT94), which will be held July
12-15. We invite submissions to ML94 from researchers in machine
learning or related fields, such as psychology, statistics, or
neuroscience. The conference will include presentations of refereed
papers and invited talks.
REVIEW CRITERIA. Each submitted paper will be reviewed by at least two
members of the program committee, and be judged on clarity,
significance, and originality. Submissions should contain new results
that have not been published previously. Submissions to ML94 may be
submitted to other conferences, but if so a statement to this effect
must appear on the title page.
PAPER FORMAT. Submissions must be clearly legible, with good quality
print. Papers are limited to a total of twelve (12) pages, excluding
title page and bibligraphy, but including all tables and figures.
Papers must be printed on 8 1/2" x 11" or A4 paper using 12 point type
(10 characters per inch for typewriters). Each page must have a
maximum of 38 lines and an average of 75 characters per line
(corresponding to the LaTeX article style, 12 point). Papers not
adhering to this format may be returned without review. Double-sided
printing is strongly encouraged. The title page of each paper must
include the e-mail and postal addresses of all authors, an abstract,
and one or more keywords from the following list to aid in the
reviewing process: analogy, Bayesian learning, case-based reasoning,
cognitive modeling, computational learning theory, concept formation,
decision trees, discovery, explanation-based learning, genetic
algorithms, inductive logic programming, instance-based learning,
knowledge acquisition, minimum description length, neural networks,
reformulation, reinforcement learning, scientific theory formation,
speedup learning, theory refinement, unsupervised learning,
constructive induction, multi-strategy learning.
REQUIREMENTS FOR SUBMISSION. Authors must submit five copies of their
papers to the address below; electronic or FAX submission is not
acceptable. Papers must be received by February 8, 1994. Notification
of acceptance or rejection will be mailed to the first (or designated)
author by March 25, 1994. Camera-ready copy of accepted papers will
be due April 26, 1994. Send conference paper submissions to: William
W. Cohen, ATT Bell Laboratories, 600 Mountain Avenue, Room 2A-427,
Murray Hill, NJ 07974 (908)-582-2092.
INFORMAL WORKSHOPS. Proposals are invited for informal workshops in
areas of interest related to machine learning. Send a two-page
proposal to: Russell Greiner, ML94 Workshop Chair, Siemens Corporate
Research, 755 College Road East, Princeton, NJ 08540, by December 1,
1993, indicating the organizer(s), nature and objective of the
proposed workshop, and the likely number of attendees.
GENERAL INQUIRIES:
ml94@cs.rutgers.edu
CONFERENCE CO-CHAIRS:
William W. Cohen Haym Hirsh
ATT Bell Laboratories Department of Computer Science
600 Mountain Avenue Rutgers University
Murray Hill, NJ 07974 New Brunswick, NJ 08903
wcohen@research.att.com hirsh@cs.rutgers.edu
PROGRAM COMMITTEE:
David Aha, NRL
Yuichiro Anzai, Keio U.
Eric Baum, NEC
Francesco Bergadano, U. Torino
Wray Buntine, NASA
Jason Catlett, ATT
Marie des Jardins, SRI
Tom Dietterich, Oregon St. U.
Doug Fisher, Vanderbilt U.
John Grefenstette, NRL
Russ Greiner, Siemens
Geoff Hinton, U. Toronto
Leslie Kaelbling, Brown U.
Dennis Kibler, UCI
John Laird, U. Michigan
Sridhar Mahadevan, S. Florida
Hiroshi Motoda, Hitachi
Ray Mooney, U. Texas
Katharina Morik, U. Dortmund
Mike Pazzani, UCI
Lenny Pitt, U. Illinois
Lorien Pratt, Colorado S. of Mines
Armand Prieditis, UC/Davis
Paul Rosenbloom, USC/ISI
Stuart Russell, UCB
Lorenza Saitta, U. Torino
Claude Sammut, U. New S. Wales
Cullen Schaffer, Hunter College
Rich Sutton, GTE
Paul Utgoff, U. Mass
Stefan Wrobel, GMD
Steve Whitehead, GTE
Manuela Veloso, CMU
Kenji Yamanishi, NEC
WORKSHOP CHAIR:
Russell Greiner
Siemens Corporate Research
755 College Road East
Princeton, NJ 08540
greiner@learning.scr.siemens.com
LOCAL ARRANGEMENTS:
Priscilla Rasmussen
Department of Computer Science
Rutgers University
New Brunswick, NJ 08903
rasmusse@cs.rutgers.edu
------------------------------
From: Bruce Macdonald <bruce@cpsc.ucalgary.ca>
Date: Mon, 24 Jan 1994 01:52:10 -0700
Subject: Machine Learning workshop at CSCSI conference in Banff, May 1994.
Machine Learning Workshop
AI'94
Canadian Artificial Intelligence Conference
Banff Park Lodge
Banff, Alberta, Canada
May 16-20, 1994
The purpose of this workshop is to bring together people who are
active in applications or (theoretical or experimental) studies of
machine learning. Participants in related fields such as computational
studies of human learning, genetic algorithms and neural nets are also
welcome. The emphasis of the workshop will be on informal
communication and exchange of ideas. A small fee will be charged to
cover costs.
SUBMISSIONS: Please submit an extended abstract (of not more than 4000
words) and a short (not more than 1000 word) summary of current work
by email (text or Postscript) to bruce@cpsc.ucalgary.ca. A paper will
be required for accepted contributions, and these will be collected
together in a workshop proceedings as a technical report.
ORGANIZING COMMITTEE:
Chairman: Bruce MacDonald Rob Holte
Computer Science Department Department of Computer Science
The University of Calgary University of Ottawa
2500 University Drive NW Ottawa, Ont., K1N 6N5
Calgary, Alta., T2N 1N4 email: holte@csi.uottawa.ca
ph.(403) 220-5112
Fax: (403) 284-4707 Charles Ling
email: bruce@cpsc.ucalgary.ca Department of Computer Science
University of Western Ontario
London, Ont., N6A 5B7
email: ling@csd.uwo.ca
IMPORTANT DATES:
Submissions due: February 14
Notification of Acceptance: March 7
Final papers due: April 4
Proceedings: distributed at the workshop (May 16/17)
(papers submitted by email will be
available electronically, ahead of time)
------------------------------
Subject: CfP ECML MLnet workshop on Theory Revision and Restructuring
Date: Tue, 25 Jan 94 14:32:18 +0100
From: Stefan.Wrobel@gmd.de
ECML MLNet Workshop on
Theory revision and restructuring
Catania, Italy, April 9 or 10, 1994
Call for Contributions
With the growing complexity of applications being tackled
by Machine Learning, it has become increasingly clear
that besides approaches for the initial acquisition of
knowledge bases we also need techniques for theory revision
and restructuring, i.e., techniques that can use existing
learned or human-supplied domain theories and can modify
them to improve their correctness, completeness, efficiency
or understandability.
This ECML MLNet workshop intends to bring together
the various approaches to revision and restructuring that
have been developed under different perspectives within
Machine Learning. Traditionally, revision has been a
part of incremental or hill-climbing learning systems which
keep only one current hypothesis and modify it whenever
new examples arise. More recently, revision has been
identified has an important part of approaches that learn
multiple predicates simultaneously, and incorporated as
a central component of integrated multi-strategy learning
systems. Moreover, revision and restructuring are also
important topics in several neighboring fields such as
knowledge representation, logic programming or deductive
databases.
The workshop invites submissions on all topics related
to theory revision and restructuring, including but not
limited to:
o multiple-predicate learning
o selection of preferred revisions, bias, constraints
o revision as a part of multi-strategy learners
o relationships to neighboring fields (e.g. revision
work in knowledge representation and deductive database
communities)
o scientific theory revision
o debugging techniques for revision
o theory restructuring
o applications of these techniques
Authors intending to present their work should submit a
two-page abstract of their talk until March 1st, 1994, to:
Stefan Wrobel
GMD, I3.KI, Schloss Birlinghoven
53757 Sankt Augustin, Germany
stefan.wrobel@gmd.de
preferably by E-Mail in LaTeX. Authors will be notified of
acceptance until March 14, 1993. A handout of accepted
abstracts will be made available to participants.
Organizing Committee
Hilde Ad'e, Carl-Gustav Jansson, Stefan Wrobel.
------------------------------
Date: Sat, 22 Jan 94 14:37:40 -0800
From: John Moody <moody@chianti.cse.ogi.edu>
Subject: Call for Papers: NEURAL NETWORKS in the CAPITAL MARKETS
--- Preliminary Announcement and Call for Papers ---
NNCM-94
Second International Workshop
NEURAL NETWORKS in the CAPITAL MARKETS
Thursday-Friday, November 17-18, 1994
The Ritz-Carlton Hotel, Pasadena, California, U.S.A.
Sponsored by Caltech and London Business School
Neural networks have now been applied to a number of live systems
in the capital markets, and in many cases have demonstrated better
performance than competing approaches. Because of the overwhelming
interest in the first NNCM workshop held in London in November
1993, and after the success of this workshop, the second annual
NNCM workshop is planned for November 17-18, 1994, in Pasadena,
California. This is a research meeting where original, significant
contributions to the field are presented and discussed. In addition,
two introductory tutorials will be included to familiarize audiences
of different backgrounds with the financial aspects, and the
mathematical aspects, of the field.
Areas of Interest:
Bond and stock valuation and trading, asset allocation and risk
management, foreign exchange rate predication, commodity price
forecasting, portfolio management, univariate time series analysis,
multivariate data analysis, classification and ranking, pattern
recognition, and hybrid systems.
Organizing Committee:
Dr. Y. Abu-Mostafa, California Institute of Technology
Dr. A. Atiya, Cairo University
Dr. N. Biggs, London School of Economics
Dr. D. Bunn, London Business School
Dr. B. LeBaron, University of Wisconsin
Dr. A. Lo, MIT Sloan School
Dr. J. Moody, Oregon Graduate Institute
Dr. A. Refenes, London Business School
Dr. M. Steiner, Universitaet Munster
Dr. A. Timermann, Brickbeck College, London
Dr. A. Weigend, University of Colorado
Dr. H. White, University of California, San Diego
Submission of Papers:
Original contributions representing new and significant research,
development, and applications in the above areas of interest will
be considered. Authors should send 5 copies of a 1000-word summary
clearly stating their results to
Dr. Y. Abu-Mostafa, Caltech 116-81, Pasadena, CA 91125, U.S.A.
All submissions must be received before May 1, 1994. There will
be a rigorous refereeing process to select the high-quality papers
to be presented at the workshop.
Location:
The workshop will be held at the Ritz-Carlton Huntington Hotel in
Pasadena, within two miles from the Caltech campus. The hotel is
a 35-minute drive from Los Angeles International Airport (LAX) with
nonstop flights from most major cities in North America, Europe,
the Far East, Australia, and South America.
Mailing List:
If you wish to be added to the mailing list of NNCM-94, please send
your postal address, e-mail address, and fax number to
Dr. Y. Abu-Mostafa, Caltech 116-81, Pasadena, CA 91125, U.S.A.
e-mail: yaser@caltech.edu , fax (818) 568-8437
------------------------------
From: Tom Dietterich <tgd@chert.cs.orst.edu>
Date: Mon, 24 Jan 94 10:50:18 PST
Subject: New Editorial Board Members and Action Editors for Machine Learning
I am pleased to announce that the Machine Learning journal has voted
to adopt a system of rotating 3-year terms for its editorial board
members. The following new members of the editorial board were
elected to replace a randomly-selected third of the existing board.
Congratulations to these new board members:
Ivan Bratko Leslie Kaelbling Michael Pazzani
Wray Buntine Michael Kearns Gerry Tesauro
William Cohen Pat Langley Rob Schapire
Michael Jordan Tom Mitchell Kurt VanLehn
Steve Muggleton
I am also pleased to announce that the editorial board has named five
new action editors in the last year: Andy Barto, Doug Fisher, Ray
Mooney, Lorenza Saitta, and Jude Shavlik.
The remaining members of the editorial board are:
Bruce Buchanan Steve Minton
Jaime Carbonell Katharina Morik
Gerry DeJong Lenny Pitt (Action Editor)
Ken DeJong (Action Editor) Bruce Porter
Tom Dietterich (Executive Editor) Ross Quinlan (Action Editor)
John Grefenstette Paul Rosenbloom
David Haussler (Action Editor) Jeff Schlimmer
John Holland Alberto Segre (Book Review Editor)
Rob Holte Derek Sleeman
Dennis Kibler Rich Sutton
Yves Kodratoff Leslie Valiant
John McDermott Paul Utgoff (Action Editor)
Ryszard Michalski
------------------------------
End of ML-LIST (Digest format)
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