Copy Link
Add to Bookmark
Report
Machine Learning List Vol. 5 No. 19
Machine Learning List: Vol. 5 No. 19
Tuesday, August 31, 1993
Contents:
UCI Machine Learning Repository Update
The Fourth International Workshop on Inductive Logic Programming
CFP -- Spring Symposium on Goal-Driven Learning
Journal of Artificial Intelligence Research
UAI-94 call for papers
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>
----------------------------------------------------------------------
Subject: UCI Machine Learning Repository Update
Date: Mon, 30 Aug 1993 22:09:04 -0700
From: "Patrick M. Murphy" <pmurphy@focl.ICS.UCI.EDU>
The following is a list of databases that have recently been
added to the UCI Machine Learning Repository.
Any comments or donations would be creatly appreciated
(ml-repository@ics.uci.edu).
Patrick M. Murphy (Site Librarian)
David W. Aha (Off-Site Assistant)
- AAAI 1994 Spring Symposium (AIM-94) Datasets:
[Available in ftp.ics.uci.edu:pub/machine-learning-databases/aim-94]
Two large data samples are available to serve as training and test
sets for various approaches to information management and to provide
a common domain of discourse. The samples include:
* A dense, high volume data set typical of a critical care
environment. This data set consist of hemodynamic measurements,
mechanical ventilator settings, laboratory values including arterial
blood gas measurements, and treatment information covering a 12-hour
period of the ICU treatment of a patient with severe respiratory
distress.
* A large number of sparse data sets representative of outpatient
environments. The data includes blood glucose measurements,
treatment, and lifestyle information on 70 patients with diabetes
mellitus. Each patient record consists of several weeks' to months'
worth of clinical information sampled at irregular intervals. These
sets are available immediately to be used as training cases. For
interested parties, 10 more case records will be made available two
weeks prior to the symposium to be used as an optional testing set
for various approaches.
- Announcement of the AIM-94 Matchmaker Service:
[from AIM-94-CFP]
We realize that an accurate interpretation of clinical data requires
a thorough understanding of the physiological principles and clinical
issues involved. We also realize that many AIM researchers do not
have convenient access to medical expertise, and that a symposium
focusing on a clinical theme may catch several parties at a disadvantage.
Conversely, some clinical researchers may be interested in participating
but may not have collaborators on the computer science end of the field.
To offset such disadvantages, we will provide a simple 'Matchmaker'
service for AIM-94. The purpose of this service is to establish a medium
by which researchers can seek collaborators of complementary background
and interests for AIM-94 participation and beyond.
If you are interested in participating in this program, send a
one-paragraph description of your background, research interests, and the
type of collaboration you are pursuing to <aim-94@camis.stanford.edu> by
September 20th. We will collate these entries and distribute the whole
list to all participants of the program. It will be the participants'
responsibility to contact others to discuss and establish collaborative
efforts; AIM-94 organizers will solely act as mediators.
- For questions regarding the conference see the file "AIM-94-CFP"
------------------------------
Subject: The Fourth International Workshop on Inductive Logic Programming
Date: Sat, 14 Aug 93 19:58:25 +0200
From: Stefan.Wrobel@gmd.de
The Fourth International Workshop on Inductive Logic Programming
(ILP94)
September 12 -- 14, 1994
Bad Honnef/Bonn, Germany
Announcement and First Call for Papers
General Information
Originating from the intersection of Machine Learning and Logic
Programming, Inductive Logic Programming (ILP) is an important and
rapidly developing field that focuses on theory, methods, and
applications of learning in relational, first-order logic formalisms.
ILP94 is the fourth in a series of international workshops designed
to bring together developers and users of ILP in a format that
allows a detailed exchange of ideas and discussions. Reflecting the
growing maturity of the field, ILP94 for the first time will offer a
systems and application exhibit as an opportunity to demonstrate the
practical results and capabilities of ILP.
Submission of papers
Reflecting the broadening scope of the field, ILP94 invites papers
covering on the three main aspects of ILP, namely inductive data
analysis and learning in first-order formalisms, inductive synthesis
of non-trivial logic programs from examples, and inductive tools
for software engineering. Possible topics include, but are not
restricted to:
o complexity of learning in o relationships between ILP
logical formalisms and neighboring areas
o higher-order learning o predicate invention
o learning of integrity constraints o theory revision and restructuring
o multiple predicate learning o learning in relational formalisms
o handling of noise o declarative bias
o architectures for ILP o comparative analyses of ILP methods
o application discussions
Ideally, papers should fit into one of the following categories:
Theory. Theory papers prove results about a new or known ILP problem
or method, discuss the relationship with neighboring fields, or
present a unified analysis of several methods.
Methods. Method papers present details of new algorithms, ideally
including theoretical and complexity analysis, and empirical
results on important applications. Ideally, a method paper
would be accompanied by a system demo.
Applications. Application papers describe one or more real-life ILP
applications in detail, justifying the use of ILP techniques,
and giving a reproducible presentation of experiments and
results. Ideally, an application paper would be accompanied by
an application demo.
Please submit four paper copies of your paper to the workshop chair
Stefan Wrobel
GMD, I3.KI
Schloss Birlinghoven
53757 Sankt Augustin, Germany.
E-Mail: ilp-94@gmd.de
Fax: +49/2241/14-2889 Tel: +49/2241/14-2670
to be received on or before May 31, 1994. There is no fixed page
limit on submissions, but length should be reasonable and adequate
for the topic. Please use LaTeX if at all possible. Authors will
be notified of acceptance or rejection until July 15, 1994, and
camery-ready copy will be due on August 9, 1994.
Program Committee
Francesco Bergadano (Italy) Ivan Bratko (Slovenia)
Wray Buntine (USA) William W. Cohen (USA)
Luc de Raedt (Belgium) Koichi Furukawa (Japan)
J"org-Uwe Kietz (Germany) Nada Lavrac (Slovenia)
Stan Matwin (Canada) Stephen Muggleton (UK)
C'eline Rouveirol (France) Claude Sammut (Australia)
Proceedings
To keep submission dates close to the workshop, accepted papers will
be published as a GMD technical report to be distributed at the
workshop and officially available to others from GMD afterwards.
Publication of an edited book is planned for after the workshop.
Systems and Applications Exhibition
ILP94 offers participants an opportunity to demonstrate their systems
and/or applications. Please announce your intention to demo to the
conference office until August 1, 1994, specifying precisely what
type of hardware and software you need.
Location
ILP94 will take place in Bad Honnef, a small resort town close to
Bonn in the Rhine valley and adjacent to the Siebengebirge nature
park. Participants will be able to take advantage of Bad Honnef's
vicinity to medieval castles and of the new wine season that starts
at the time of the workshop.
Registration and Conference Office
Please address all correspondence regarding registration to:
Christine Harms
ILP94
c/o GMD
Schloss Birlinghoven
53757 Sankt Augustin, Germany
Tel. +49/2241 14-2473, Fax +49/2241 14-2472 or 2618
E-Mail ilp-94@gmd.de
If you send (preferably by E-Mail) the following information to
Christine Harms, you will be sent a complete registration brochure as
soon as it is available:
Last name:
First name:
Institution:
Zip code, city:
Country:
E-Mail:
Fax:
Intend to submit a paper?
Important Dates
Paper submission deadline: May 31, 1994
Notification of acceptance: July 15, 1994
Demo requests: August 1, 1994
Camera-ready copy due: August 9, 1994
Early registration: August 9, 1994
Workshop: September 12 -- 14, 1994
------------------------------
Subject: CFP -- Spring Symposium on Goal-Driven Learning
Date: Fri, 20 Aug 93 15:21:25 -0700
From: marie@erg.sri.COM
AAAI-94 SPRING SYMPOSIUM ON
GOAL-DRIVEN LEARNING
Stanford University
March 21-23, 1994
CALL FOR PARTICIPATION
Program Committee:
Marie desJardins (co-chair) Lawrence Hunter
Foster John Provost Ashwin Ram (co-chair)
Goal-driven learning refers to the process of using the overall goals
of an intelligent system to make decisions about when learning should
occur, what should be learned, and which learning strategies are
appropriate in a given context. This focusing process may take place
at any decision point during learning---for example, when determining
what to learn, selecting a bias, pruning the space of theories to be
considered, or generating experiments for data gathering. Research in
psychology, education, and AI has shown the need for intelligent
systems to make decisions about what and how to learn. The common
rationale, and the principle around which the symposium will be
organized, is that the value of learning depends on how well it
satisfies the goals of the system. The symposium will bring together
researchers from diverse research areas to discuss issues in how
learning goals arise, how they affect learner decisions of when and
what to learn, and how they guide the learning process.
Topics addressed by the symposium will span the diverse work in this
area, which includes research in formulating learning goals,
experiment generation, utility of knowledge assessment, evaluating and
selecting learning biases, explanation-based learning, learning from
texts, active learning, case-based reasoning, formal analyses of
decision making, automated question generation, knowledge acquisition
planning, reinforcement learning, and control theory. We encourage
researchers from fields other than these to submit papers on related
research.
In addition to technical presentations, the symposium will include a
session of invited talks on relevant topics, such as formal utility
analyses of learning, automated experiment planning, psychological
evidence for goal-driven learning behavior in humans, human
educational motivation, and question generation. Depending on the
number and quality of submitted papers, we may include a poster
session as well. If there is sufficient overlap, we will arrange a
joint session with the symposium on Decision-Theoretic Planning.
Time will be set aside for debate and discussion during the technical
sessions, and the symposium will conclude with a panel and audience
discussion of the issues raised during the symposium. Members of the
concluding panel will be selected during the meeting, with the
intention of creating a panel representative of the viewpoints
expressed at the symposium.
In order to stimulate debate and discussion on future directions for
research as well as evaluation of existing approaches to goal-driven
learning, we encourage the submission of extended abstracts describing
work in progress, position papers, and papers describing innovative
unexplored approaches, as well as papers describing mature research
results.
If you wish to present a paper, please submit four hardcopies of a
paper or extended abstract by October 15 to:
Prof. Ashwin Ram
College of Computing
Georgia Institute of Technology
Atlanta, GA 30332-0280
(404) 853-9372
Shorter submissions (under five pages) are encouraged; however, longer
submissions (up to ten pages) will be accepted.
If you wish only to participate in the workshop, please submit two
hardcopies of a research summary describing your relevant research
interests.
Questions may directed to Prof. Ram (ashwin@cc.gatech.edu) or to
Marie desJardins (marie@erg.sri.com).
SCHEDULE:
October 15, 1993 Papers due
November 15, 1993 Acceptance/rejection notices mailed
January 31, 1994 Camera-ready papers due
February 15, 1994 Registration deadline for invitees
March 1, 1994 Final registration deadline
March 21-23 Symposium at Stanford Univ.
------------------------------
Date: Sun, 29 Aug 93 00:20:30 PDT
From: Steve Minton <minton@ptolemy.arc.nasa.GOV>
Subject: Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
ANNOUNCEMENT
The AI Access Foundation is pleased to announce that the Journal of
Artificial Intelligence Research (JAIR) is now available over the
internet. You can access JAIR via either Usenet (see the newsgroup
comp.ai.jair.announce), anonymous FTP or automated email. For further
information, send electronic mail to jair@cs.cmu.edu with the subject
``autorespond'' and the message body ``help'', or contact
jair-ed@ptolemy.arc.nasa.gov.
FORTHCOMING ARTICLES
M. Wellman, A Market-Oriented Programming Environment and its Application
to Distributed Multicommodity Flow Problems
M. Ginsberg, Dynamic Backtracking
I. Gent and T. Walsh, An Empirical Analysis of Search in GSAT
CALL FOR PAPERS
JAIR is a refereed publication, covering all areas of AI, that will be
distributed over the internet. In addition, each complete volume of
JAIR will be published by Morgan Kaufmann. JAIR will offer AI
researchers several advantages over existing journals:
-- To promote rapid publication of research results, articles sent to
JAIR will be reviewed and returned to the authors in approximately
6 weeks. Electronic publication will occur immediately after the
editor receives the final version of an accepted article.
-- Articles will be distributed free of charge over the internet via ftp,
automated email, and a newsgroup. Articles will be available
in postscript. (We are considering additional formats as well.)
-- Subscribers will be able to take full advantage of the electronic medium.
JAIR will support a variety of electronic services, such as
online appendices containing data/code.
JAIR will only publish articles of the highest quality. Submissions
will be evaluated on their originality and significance. All claims
should be clearly articulated and justified either empirically or
theoretically. Papers should describe work that has both practical
and theoretical significance.
We encourage authors to be concise. Short, high-quality articles will
be welcomed, in addition to the longer articles that traditionally
appear in AI journals. JAIR will also publish technical notes -- very
brief papers that extend or evaluate previous work. We invite
submissions in all areas of AI, including automated reasoning,
cognitive modeling, knowledge representation, learning, natural
language, perception, and robotics.
EXECUTIVE EDITOR
Steven Minton
ASSOCIATE EDITORS
Jon Doyle Richard Korf
Fausto Giunchiglia Wendy Lehnert
Henry Kautz Richard Sutton
Daniel Weld
EDITORIAL BOARD
Jan Aikins David Haussler Martha Pollack
Yuichiro Anzai Julia Hirschberg Ross Quinlan
Rodney Brooks Lawrence Hunter Edwina Rissland
Murray Campbell Takeo Kanade Paul Rosenbloom
Thomas Dean Hiroaki Kitano Stuart Russell
Rina Dechter Pat Langley Erik Sandewall
Gerald DeJong Ramon Lopez de Mantaras Bart Selman
Johan de Kleer David McAllester Stuart Shieber
Didier Dubois Kathleen McKeown Douglas Smith
Edmund Durfee Stephen Muggleton Luc Steels
David Etherington Hideyuki Nakashima Anthony Stentz
Oren Etzioni Nils Nilsson Peter Struss
Kenneth Forbus Toyoaki Nishida Hozumi Tanaka
Michael Georgeff Christos Papadimitriou Austin Tate
Matthew Ginsberg Judea Pearl David Touretzky
Walter Hamscher Tomaso Poggio Michael Wellman
ADVISORY BOARD
Jaime Carbonell Kenneth Forbus Paul Rosenbloom
Thomas Dietterich Peter Friedland Bart Selman
Oren Etzioni Matthew Ginsberg
------------------------------
Date: Mon, 23 Aug 1993 15:56:38 UTC
From: mantaras@ceab.es
Subject: UAI-94 call for papers
Tenth Annual Conference on Uncertainty in Artificial Intelligence
July 29-31, 1994, Seattle, Washington
CALL FOR PAPERS
Reasoning under uncertainty is pervasive in all areas of Artificial
Intelligence. The Uncertainty in AI conference is the major forum for
advances in the theory and practice of reasoning under uncertainty.
We are seeking contributions both from researchers interested in
advancing the technology and from practitioners who are using
uncertainty techniques in applications.
The tenth annual Conference on Uncertainty in Artificial Intelligence
will be devoted to methods for reasoning under uncertainty as applied
to problems in artificial intelligence. The conference's scope covers
the full range of approaches to automated and interactive reasoning
and decision making under uncertainty, including both qualitative and
numeric methods.
We seek papers on fundamental theoretical issues, on representational
issues, on computational techniques and on applications of uncertain
reasoning, using traditional and alternative paradigms of uncertain
reasoning. Topics of interest include (but are not limited to):
Methods and Techniques
foundations of uncertainty concepts,
representation languages for uncertain knowledge,
knowledge acquisition,
construction of uncertainty models from data,
uncertainty in machine learning,
automated planning and acting,
uncertainty in ill-defined environments,
decision making under uncertainty,
algorithms for uncertain inference,
empirical studies of reasoning strategies,
pooling of uncertain evidence,
belief updating and inconsistency handling,
summarization of uncertain information, and
control of reasoning and real-time architectures.
Applications
Questions of particular interest include:
Why was it necessary to represent uncertainty in your domain?
What kind of uncertainties does your application address?
Why did you decide to use your particular uncertainty formalism?
What theoretical problems, if any, did you encounter?
What practical problems did you encounter?
Did users of your system find the results or recommendations useful?
Did your system lead to improvements in reasoning or decision making?
What methods were used to validate the effectiveness of the systems?
What did you learn about what was or was not effective in your domain?
Papers will be refereed for originality, significance, technical
soundness, and clarity of exposition. Application papers will be
judged according to criteria appropriate for application papers, such
as those related to the questions above. Papers may be accepted for
presentation in plenary or poster sessions. Some key applications
oriented work may be presented both in a plenary session and in a
poster session where more technical details can be discussed. All
accepted papers will be included in the published proceedings.
Outstanding student papers may be selected for special distinction.
Submission of Papers
Five copies of complete papers (hardcopy only) should be sent to one
of the Program Co-Chairs by February 1, 1994. The first page
should include a descriptive title, the names, addresses (regular mail
and email), and student status of all authors, a brief abstract, and
salient keywords or other topic indicators. To aid in finding
appropriate reviewers, the title, abstract and keywords should be
e-mailed to uai94@cs.ubc.ca . Acceptance notices will be sent by
March 31, 1994. Final camera-ready papers, incorporating reviewers'
suggestions, will be due approximately four weeks later. There will
be an eight-page limit on proceedings papers, with one extra page
available for a fee.
Program Co-Chairs (paper submissions):
Ramon Lopez de Mantaras
Artificial Intelligence Research Institute
CSIC
17300 Blanes, Spain
Tel: +34-72-336101
Fax: +34-72-337806,
e-mail: mantaras@ceab.es
David Poole,
Department of Computer Science,
2366 Main Mall, Room 201,
University of British Columbia,
Vancouver, B.C., Canada V6T 1Z4
Tel: +1 (604) 822-6254,
Fax: +1 (604) 822-5485
email: poole@cs.ubc.ca
General Chair (conference inquiries):
David Heckerman
One Microsoft Way
Building 9S/1024
Redmond, WA 98052-6399
Tel: (206) 936-2662, Fax: (206) 644-1899
email: heckerma@microsoft.com
------------------------------
End of ML-LIST (Digest format)
****************************************
