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Machine Learning List Vol. 5 No. 03
Machine Learning List: Vol. 5 No. 3
Thursday, February 4, 1993
Contents:
MDL Reference(2)
Searching for Biologists Collaborators? A new resource.
Linear combinations in CART
CFP: The AAAI-93 Workshop on Case-Based Reasoning
The Second International Workshop on Multistrategy Learning
IJCAI Workshop CFP: Models of Teaching and Models of Learning
CFP: AAAI-93 Workshop on "Reasoning About Function"
MIE'93 - European Congr. Medical Informatics
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----------------------------------------------------------------------
Date: Thu, 21 Jan 93 14:37:10 PST
From: Wray Buntine <wray@ptolemy.arc.nasa.GOV>
Subject: MDL References
Thanks to Albert Boulanger for a great bunch of references.
> Several folk, in response to my posting, asked for some references on
> MDL-like methods. Some references are incomplete so perhaps you can
> help *me* complete them,
Since you asked, here's some complementary stuff:
In general, anything branded as MDL/MML can be converted to
Bayesian, and vice versa. The only difference is the
philosophy for choosing priors and the claims to
originality. No one alive can claim to have originated
Bayesian methods since they date back to the 18th century.
So if you want some other references on MDL,
look to the Bayesian literature, convert "priors" to "codes" etc.
and take logarithms where appropriate. Oh, I forgot, perhaps the
most important difference between Bayesian and MDL methods is that
the classical statisticians haven't yet branded MDL methods
as being "bad" like they have with Bayesian methods. This I believe
is due to Rissanen's heavy push on "universal", "robust" etc.
to stop his priors from being recognized as "subjective".
> As I mentioned in the short note, one can push the use of MDL earlier
> into the generation phase of machine learning programs. In this paper,
> it used for both growing and pruning the decision tree:
> "Construction of Tree Structured Classifiers by the MDL Principle",
> Mati Wax, ICASSP (??) Proceedings, M7.10, 2157-2160, 1990.
Trees and MDL/MML/Bayesian methods are all the rage these days.
Here are four more relevant references:
% a patent!
@misc{rissanen:patent,
AUTHOR = "J. Rissanen and Mati Wax",
TITLE = "Algorithm for Constructing Tree Structured Classifiers",
YEAR = "1988",
PUBLISHER = "United States Patent Office",
NOTE = "Patent Number $4,719,571$." }
% an MML approach
@article{wallace:trees,
AUTHOR = "C.S. Wallace and J.D. Patrick",
TITLE = "Coding Decision Trees",
YEAR = "1993",
NOTE = "To appear, {\it Machine Learning}" }
% a Bayesian approach indistinguishable except for the fine print
@article{trees:ais,
AUTHOR ="W.~Buntine",
TITLE ="Learning classification trees",
JOURNAL = "Statistics and Computing",
YEAR ="1992",
PAGES = "63--73",
VOLUME = 2 }
% an MML approach to growing graphs, an extension of trees;
% I'm grateful to Jon Oliver for reimplementing this in IND v2.1 and
% allowing us to include his paper in the documentation
@inproceedings{oliver:ais93,
AUTHOR = "J.J. Oliver",
TITLE = "Decision Graphs --- An Extension of Decision Trees",
BOOKTITLE = "Fourth International Workshop on AI and Statistics",
ADDRESS = "Ft.\ Lauderdale, FL",
YEAR = 1993,
NOTE = "Extended version included as Postscript with the
IND v2.1 release." }
>> An application of MDL to *unsupervised* clustering is:
% Another application. Notice the year of publication!
% By taking logarithms here and there, Cheeseman et al.s AUTOCLASS
% is also an application of MDL/MML to unsupervised clustering.
@article{wallace:snob,
TITLE = "A program for numerical classification",
AUTHOR = "D.M. Boulton and C.S. Wallace",
JOURNAL = "The Computer Journal",
YEAR = "1970",
VOLUME = 13,
NUMBER = 1,
PAGES = "63--69" }
> pages 252-265. The crux of the issue (besides the silly "who published
> first") is Rissanen use of a "universal" prior. Wallace does not,
> being a die-hard prior believer. (Personally I feel that often the
> choice of prior can lead to radically different answers, and any
> attempt at making a more "robust" method should be welcomed. This
> observation comes from some work I did on a health-risk assessment
The "universal" vs. "informative" prior issue is a complex one. No
simple formula like "robust" or "universal" priors do the trick
because in surprisingly many contexts you *do* have additional
information and better chosen priors lead to very different but more
accurate trees. For experimental evidence, see my paper above.
If you'ld like to play around with this experimentally, then get
IND v2.1.
> program. I realized that misinformation in the system can really screw
> things up in using a normal Bayesian framework -- we should seek a
> more robust approach.)
Priors in general are complex multi-dimensional functions that
people have the inherent inability to visualize or understand.
"Robustness" is one word floating around statistical circles
for describing a "safer" version of a prior. There are all sorts
of tricks for choosing priors - MDL being one approach that
appeals to computer people especially.
Wray Buntine
wray@kronos.arc.nasa.gov
PS. I've got an annotated bibliography of "Statistics for AI"
if any learning people are interested.
------------------------------
Date: Sun, 24 Jan 93 21:56:49 EST
From: Eric Sven Ristad <ristad@princeton.EDU>
To: ml@ics.uci.edu
Subject: MDL references
Another application of MDL to unsupervised clustering is:
J. Rissanen and E.S. Ristad
`Unsupervised classification with stochastic complexity.''
{\it The US/Japan Conference on the Frontiers of Statistical Modeling},
University of Tennessee, May 24--29, 1992.
This will appear as a proceedings edited by H. Bozdogan.
An extended abstract appears in {\it AAAI Spring Symposium on the
Theory and Application of Minimal-Length Encoding\/}, Stanford, CA,
March 27--29, 1990, pp.55--59.
------------------------------
Date: Mon, 25 Jan 93 10:59:26 -0500
From: Larry Hunter <hunter@ncbi.nlm.nih.GOV>
Message-Id: <9301251559.AA28314@work.nlm.nih.gov>
To: Ml@ics.uci.edu
Subject: Searching for Biologists Collaborators? A new resource.
There is a new internet "Gopher" service that identifies a wide variety of
biologists looking for collaborators. Many of the listings include people
working on Human Genome and other biological projects that are appropriate for
machine learning or other computational approaches. (For information about
using gopher, try ftp'ing to boombox.micro.umn.edu).
This could be a very useful resource for CS people looking for biological
collaborators.
Larry Hunter
National Library of Medicine
hunter@nlm.nih.gov
==== begin forwarded message
From: danj@WELCHGATE.WELCH.JHU.EDU (Dan Jacobson)
Date: 25 Jan 93 00:12:13 GMT
Searching For Biologists
Looking for someone to collaborate with?
Looking for someone with expertise in a specific field?
Looking for someone's address?
Well here's a good place to start - you can search for people
by name, location, and an abstract describing their research
interests.
Just point gopher at merlot.welch.jhu.edu (128.220.59.18)
and go into the following directory:
--> 15. Searching For Biologists/
What appears here is the pilot project for a database which
will help you to find other scientists.
At present you can search for scientists who are funded by the
1) U.S. Department of Energy - to work on the Genome project;
2) U.S. National Institutes of Health - to work on the Genome project;
3) U.S. National Science Foundation;
4) U.S. Department of Agriculture and;
5) Researchers at the National Institutes of Health.
The searches for Genome researchers are run locally while the others
are at present run remotely. The term "Genome" is a very general
categorization - you will find people from a wide range of disciplines
and interests represented in these searches.
Search Capabilities:
--------------------
Searches (1, 2, and 4) support booleans (and, or, not), wildcards (*), and
phrase searches (" "). (Kudos go to Don Gilbert for the boolean Wais code.)
Search (5) supports two booleans (and, or), but not wildcards or phrase
searches. Search (3) has only simple keyword searching.
Now if that last section was a bit confusing - just try it out, 'tis easier
to do than to explain' :-).
Happy Searching,
Dan Jacobson
danj@welchgate.welch.jhu.edu
Johns Hopkins University
------------------------------
Date: Fri, 29 Jan 93 09:07:25 +1100
From: Robert Pearson <rap@csadfa.cs.adfa.oz.au>
Subject: Linear combinations in CART
A number of methods for allowing induction to calculate the
linear combinations have been proposed. I tried to impliment the
method in the CART book; This the authors admit is not the one implimented
in the program. That in the book fails. I aught to have realised that it would
as it involves a double search and the true 'parent' impurity is of course
not defined for each search. If anyone has details of the implimented version
I would appreciate them, also any linear combinations that allow the
prior probabilities and/or non uniform costs to be included.
I also implimented the 'distance measure' and wanted to
try it on moderate-large data sets with multiple classes and multiple
(more than 2) values of categorical (and unordered) variables.
I was using the 'heart' data in the depository of machine learning data
but would like pointers
on previously published work using all classes, and combining the data from
all sources. (Not just the 'cleveland' subset and 2 classes). As an aside
2 options on the categorical seem common; one value to each child, or
a binary one with one value to one child the rest to the remainder. Other
possibilies are best binary combination, best possible combinations. I tested
the 'one value to each child' version then combine in the pruning.
Robert Pearson ISD: +61 6 268 8171 STD: (06) 268 8171
Dept. Computer Science Email: rap@csadfa.oz.au
University College Aust. Defence Force Academy
Canberra. ACT. 2600. AUSTRALIA
------------------------------
From: David Leake <leake@cs.indiana.EDU>
Subject: CFP: The AAAI-93 Workshop on Case-Based Reasoning
Date: Tue, 2 Feb 1993 15:37:36 -0500 (EST)
CALL FOR PAPERS
The AAAI-93 Workshop on Case-Based Reasoning
A 2-day workshop to be held in Washington, D.C. during AAAI-93 (July 11-16)
Description of the Workshop:
Case-based reasoning (CBR) is an increasingly important paradigm for
learning and reasoning in Artificial Intelligence systems. The last
case-based reasoning workshop, held in May of 1991, established
directions for advancing case-based reasoning. Since that workshop,
considerable progress has been made. Major research efforts are
addressing fundamental theoretical issues in CBR, while burgeoning
activity in CBR applications is evidenced by the growing number of
commercial CBR products. However, there has been no opportunity for
the case-based reasoning community to gather to relate the results of
these efforts. The AAAI-93 Workshop on Case-Based Reasoning will
bring together investigators from theoretical and applied viewpoints
to exchange results and discuss their ramifications. By providing
perspective on the fundamental issues of the field, the workshop will
both advance the state of the art and define directions for future
progress.
Topics:
- Progress in content theories and knowledge representation
- Theoretical and applied results in indexing and case retrieval
- Methods for similarity assessment
- Theory and practice of case adaptation
- Hybrid systems
- Strengths, limitations and open issues of implemented CBR systems
Format of workshop:
The workshop will take place over two days. The first day will
concentrate on theoretical research, and the second will examine
practical progress in implementing CBR systems. Each day of the
workshop will begin with an invited talk, followed by paper sessions
moderated by discussants. Ample time will be reserved for open
discussion. The workshop will close with a panel representing both
academics and industry that will discuss major issues and conclusions
from the workshop.
Attendance:
Attendance will be limited to 50 invitees, primarily those presenting
papers, serving as discussants and participating in the final panel.
As space permits, a few additional people will be invited to attend
based on a brief statement of interest (see below).
Submission requirements:
Five (5) copies of each paper should be submitted in hard copy form.
Submitted papers should include a cover page containing paper title,
authors' names, postal addresses, electronic mail addresses, telephone
numbers, and a brief abstract. Papers should be in 12 point type and
should not exceed 12 single-spaced pages including figures and
bibliography. Authors of accepted papers will be expected to provide
camera ready copy; notifications of acceptance will be accompanied by
formatting instructions. Those who wish to attend without presenting
a paper should submit a brief statement of interest and relevant work.
Accepted papers will be distributed to all workshop participants in
the form of working notes. The AAAI Press will publish a technical
report based on the working notes for wider distribution, but authors
may choose to have their papers appear only in the working notes.
Notifications of acceptance will be accompanied by a nonexclusive
permission form that must be completed by authors who wish to have
their papers included in the technical report.
Submission deadline: March 12, 1993
Notification date: April 2, 1993
Final date for camera-ready copy to organizers: April 30, 1993
Submit to:
David Leake
Workshop Chair
The AAAI-93 Workshop on Case-Based Reasoning
Computer Science Department
Lindley Hall 215
Indiana University
Bloomington, IN 47405
Phone: 812-855-9756
Fax: 812-855-4829
Email: leake@moose.cs.indiana.edu
Program committee:
Ray Bareiss, The Institute for the Learning Sciences, Northwestern
University
L. Karl Branting, University of Wyoming
Kristian Hammond, University of Chicago
Janet Kolodner, Georgia Institute of Technology
David Leake, Indiana University (chair)
Chris Owens, University of Chicago
Chris Riesbeck, The Institute for the Learning Sciences, Northwestern
University
Evangelos Simoudis, Lockheed AI Center
Manuela Veloso, Carnegie Mellon University
------------------------------
Date: Sun, 24 Jan 93 16:17:52 EST
From: Multistrategy Learning Workshop 1993 <msl93@aic.gmu.EDU>
Subject: The Second International Workshop on Multistrategy Learning
CALL FOR PAPERS
THE SECOND INTERNATIONAL WORKSHOP ON
MULTISTRATEGY LEARNING
May 26 - 29, 1993
Hilltop Inn, Harpers Ferry, West Virginia
International Workshops on Multistrategy Learning provide a forum
for researchers to present and discuss their results on multistrategy
learning methods and systems, the interrelationships between
different learning strategies, and the relationship of machine learning
methods and paradigms to human learning. Topics of interest
include, but are not limited to, the following:
o comparative analyses of learning strategies, approaches and
paradigms
o computational models of human knowledge and skill acquisition,
and comparisons with machine learning methods
o general learning theories and frameworks for multistrategy
learning
o methods and architectures for learning systems that integrate
various combinations of inferential strategies and/or computational
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 and subsymbolic learning, etc.
o applications of multistrategy learning systems to real-world
problems.
The Workshop will be held in picturesque and historical Harpers
Ferry, located at the intersection of Virginia, West Virginia and
Maryland. Harpers Ferry is easily accessible from the Dulles
International 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.
Workshop Chair
Ryszard S. Michalski, George Mason University
E-mail: michalski@aic.gmu.edu
Program Chair
Gheorghe Tecuci, George Mason University and
Romanian Research Institute for Informatics
E-mail: tecuci@aic.gmu.edu
Program Committee
Jaime Carbonell, Carnegie Mellon University
Yves Kodratoff, CNRS & University of Paris-South
Stan Matwin, University of Ottawa
Raymond Mooney, University of Texas at Austin
Katharina Morik, University of Dortmund
Michael Pazzani, University of California at Irvine
Luc de Raedt, Catholic University of Leuven
Ashwin Ram, Georgia Institute of Technology
Stuart Russell, University of California at Berkeley
Lorenza Saitta, University of Torino
Derek Sleeman, University of Aberdeen
Jude Shavlik, University of Wisconsin
Kurt VanLehn, University of Pittsburgh
Bradley Whitehall, United Tech. R.C., East Hartford
David Wilkins, U. of Illinois at Urbana-Champaign
Jianping Zhang, Utah State University
Local Arrangements
Michael Hieb
Nina Kaull
Janusz Wnek
George Mason University
E-mail: {hieb, nkaull, jwnek}@aic.gmu.edu
Address for correspondence
R. S. Michalski / G. Tecuci (MSL93)
Center for Artificial Intelligence
George Mason University
4400 University Dr., Fairfax, VA 22030
E-mail: msl93@aic.gmu.edu
Fax: (703) 993-3729, Tel: (703) 993-1719
Submissions:
o Four copies of the paper should arrive at the above address
by February 1, 1993.
o Notifications of acceptance or rejection will be sent by March 15.
o Final papers should arrive by April 15.
Remark:
The Proceedings of the First International Workshop on
Multistrategy Learning, held on November 7-9, 1991,
can be obtained by sending e-mail to nkaull@aic.gmu.edu
or by writing to the above address.
------------------------------
Date: Mon, 25 Jan 93 16:42:10 CST
From: Lawrence Birnbaum <birnbaum@aristotle.ils.nwu.EDU>
Subject: IJCAI Workshop CFP: Models of Teaching and Models of Learning
Call for Participation:
IJCAI-93 Workshop on "Models of Teaching and Models of Learning"
To be held in conjunction with IJCAI-93
Chambery, Savoie, France, August 29 -- September 3, 1993
Topic:
The organizing committee listed below is pleased to announce a one-day
workshop on the topic of "Models of Teaching and Models of Learning," to be
held in conjunction with IJCAI-93, Chambery, Savoie, France, August 29 --
September 3, 1993. The workshop is aimed at exploring the relationships among
current cognitive models of human learning, machine learning, and AI-based
teaching models and systems. In particular, it will address such questions
as:
What do models of human and machine learning tell us about effectively
structuring teaching environments in a variety of tasks and domains?
Conversely, what does our knowledge of conditions and methods for effective
teaching tell us about human, and potentially machine, learning?
What is the best role for individual examples or cases in teaching and
learning? When and how should general rules be given to students?
What is the relationship between student models in teaching systems and models
of human and machine learning? What is the proper role of student modelling
in teaching?
How can issues of motivation be addressed in teaching systems?
What should the relative roles of content issues and architectural issues be
in our models of teaching and learning?
How does technology (e.g., the use of simulation or multimedia) affect our
ability to construct effective teaching systems?
Format:
The workshop program will include both invited and submitted papers.
Presentations will be organized into a number of thematically coherent panels
to encourage discussion. In order to encourage the broadest possible
participation, the workshop program will also include a poster session. For
the same reason, researchers and students who wish to attend the workshop
without presenting a paper or poster are encouraged to do so.
To participate:
To present a paper or a poster, please submit an extended abstract (2-3 pages)
by April 1, 1993. Submission may be either by electronic mail to
workshop93@ils.nwu.edu, or by hard copy to
IJCAI-93 Workshop
Northwestern University
The Institute for the Learning Sciences
1890 Maple Avenue
Evanston, IL 60201 USA
Authors will receive notification of acceptance by May 1, 1993. Final papers
(in hard copy only) are due back to us by June 15, 1993.
If you wish to attend the workshop without presenting, please send us a copy
of your vita.
If you have any further questions, please contact us at the above addresses.
Registration
All workshop attendees must register for the main IJCAI-93 conference and pay
full registration fees. An additional fee of 300 FF will be charged for the
workshop.
Organizing committee
Roger Schank, chair
Northwestern University
The Institute for the Learning Sciences
Evanston, IL USA
John Anderson
Carnegie-Mellon University
Dept. of Psychology
Pittsburgh, PA USA
Francesco Antonucci
Istituto di Psicologia, CNR
Rome, Italy
Lawrence Birnbaum
Northwestern University
The Institute for the Learning Sciences
Evanston, IL USA
Pierre Dillenbourg
Universite de Geneve
Faculte de Psychologie et des Sciences de l'Education
Geneva, Switzerland
Elliot Soloway
University of Michigan
Dept. of Computer Science
Ann Arbor, MI USA
------------------------------
Date: Thu, 21 Jan 93 13:46:06 EST
From: Amruth Kumar <amruth@cs.buffalo.EDU>
To: ml@ics.uci.edu
Subject: CFP: AAAI-93 Workshop on "Reasoning About Function"
Call for Participation
AAAI-93 Workshop on
Reasoning About Function
========================
Washington D.C., July '93
Description of Workshop:
The explicit representation and use of the function (purpose) of an object,
either as intended by its designer or as interpreted by its user, is
emerging as a focal point of problem solving in fields as diverse as
Device Invention, Redesign, Diagnosis, Explanation Generation and
Automatic Debugging. Explicit treatment of function has proven to be
very useful because of its potential to organize and provide access to
causal knowledge of the object (eg., focuses on missing causality
during redesign), because of the improved resolution it brings
to the reasoning process (eg., discriminates among suspects
during diagnosis) and because of its utility in addressing the scaling
problem. To date, function-based knowledge has been successfully
applied in several domains, including Software Engineering, Human
Physiology, and various fields of engineering such as Electrical,
Aerospace and Chemical Engineering.
The objectives of this workshop are: 1) to examine current techniques
used to represent and reason about function; 2) to present a forum to
develop a shared framework for reasoning about function, and 3) to
identify the trends and future directions for this emerging field.
Topics
The workshop will focus on the following issues:
1) Terminology: theoretical analyses yielding an appropriate
vocabulary for function; disambiguating function from other terms such
as behavior and teleology: what are the interactions and dependencies
between them? How do form, use, experience, etc. relate to function?
2) Representation: What are the issues in acquisition of function
knowledge? What are the ontological bases of an adequate function
representation: processes, states, flows, parameters? How can
representational primitives be chosen in a given ontology? What impact
does the intended use of a function model have on its construction?
How is knowledge of function related to behavioral, structural and
heuristic knowledge?
3) Reasoning: What are the sorts of tasks/domains for which Functional
Reasoning is particularly well suited? What are the AI processes
involved in exploiting function knowledge during reasoning? How can
reasoning about function, behavior, teleology, etc. be integrated into
a coherent system?
4) Applications: An examination of implemented systems, i.e.,
representation and reasoning techniques used, evaluation of the system
and lessons learned from the experience.
Format of Workshop:
The workshop will address the work of participants in the form of
moderated presentations and discussions. Where appropriate,
participants will be invited to display posters describing their work.
Separate sessions will be devoted to terminology, representation
issues, reasoning and application issues. The workshop will conclude
with a summarizing panel discussion.
Attendance:
Participation is by invitation only, and will be limited to
approximately 35 people. See Submission Requirements below for the
criteria to be invited.
Submission Requirements:
Those who wish to attend the workshop should submit four copies of a
1-2 page research summary including a list of relevant publications,
regular and email address (where possible) and phone and FAX number.
Those who wish to present their work at the workshop should submit
four copies of a short paper (6-8 pages) in addition to the research
summary. If the work has been published or submitted for consideration
elsewhere, please specify the journal or conference. Note that,
unpublished work is preferred for presentation. Electronic submissions
will not be accepted. All submissions will be reviewed by the Workshop
Committee.
In order to facilitate interaction among participants, you are
requested to specify the following with regard to your work: topic
(terminology/representation/reasoning/application), field
(redesign/diagnosis/explanation generation etc.) and domain
(electrical/chemical/physiology etc.). In submitted papers, you are
urged to either define or relate to existing literature, all
terminology used. Also, please include a two-line description of the
main contribution of your paper.
Submission Deadline: March 12, 1993
Notification Date: April 2, 1993
Final date for camera-ready copies to organizers: April 30,1993
-------------------------------------------------
Submit to:
Amruth N. Kumar
(Reasoning About Function Workshop)
226 Bell Hall
Department of Computer Science
SUNY Buffalo, NY 14260
Ph: (716) 645 2193 Fax: (716) 645 3464
(amruth@cs.buffalo.edu)
Workshop Committee:
Dean Allemang
Swiss Federal Institute of Technology (EPFL)
(allemang@lia.di.epfl.ch)
David Franke
Trilogy Development Group
(franke@trilogy.com)
Jack Hodges
San Francisco State University
(hodges@huckleberry.sfsu.edu)
Amruth N. Kumar (Coordinator)
SUNY Buffalo
(amruth@cs.buffalo.edu)
James K. McDowell
Michigan State University
(mcdowelj@pleiades.cps.msu.edu)
Jon Sticklen
Michigan State University
(sticklen@cps.msu.edu)
Shambhu J. Upadhyaya
SUNY Buffalo
(shambhu@cs.buffalo.edu)
------------------------------
Date: Mon, 1 Feb 1993 13:45:00 BSC (-0300 C)
From: SABBATINI%ccvax.unicamp.br@uicvm.uic.EDU
Subject: MIE'93 - European Congr. Medical Informatics
MIE'93
Eleventh International Congress of Medical Informatics
"Spring in Jerusalem"
Jerusalem, Israel, April 18-22, 1993
The Israel Association of Medical Informatics is proud to host MIE'93,
the 11th International Congress of Medical Informatics, the official
conference of the European Federation for Medical Informatics, which
will be held in Israel, April 18-22, 1993. The Congress will take place
in Jerusalem in the spring, a perfect time to enjoy this magnificent
city.
MIE'93 will focus on all aspects of medical informatics and health care
computing. The Congress is aimed at health policy planners, hospital
administrators, physicians, nurses, allied health professionals, university
educators and scientists, practicing clinicians, medical informaticians
and researchers.
SCIENTIFIC PROGRAMME
The scientific programme will consist of plenary, parallel and poster
sessions, educational sessions, as well as workshops. Presentations will
be given by leading invited speakers and free paper contributors.
TOPICS
1. Artificial Intellingence and Expert 8. Hospital Information Systems
Systems 9. Imaging and Signal Analysis
2. Biomedical Engineering, Biometry 10. Laboratory Systems
3. Clinical Information Systems 11. Medical Records and the Use
4. Coding, Classification and DRG of Optical Archives
5. Data Security and Protection 12. Public Health, Primary Health
6. Decision Support Systems Care and Epidemiology Information
7. Economic and Financial Management 13. Nursing Information Systems
of Medical Services 14. Software, Database and Application
Tools
CONGRESS VENUE AND LANGUAGE
The Congress will be held at the Ramada Renaissance Hotel, 6 Wolfson Street,
Jerusalem. This is the largest convention and resort hotel complex in
Jerusalem and it offers 5-star facilities and services. The magnificent
health club, including a large landscaped outdoor pool, is complemented
by the large indoor heated pool, gigantic jacuzzi, sauna, gymn, tennis
court, etc.
The Congress will be conducted in English.
INTERNATIONAL COMMERCIAL EXHIBITION
In conjunction with the Congress, an exhibition of products and innovations
will be held, adjacent to the Congress session halls, at Ramada Renaissance
Hotel.
REGISTRATION FEES
Before Feb 1 After Feb 1
Participant US$ 360 410
Accompanying Person 120 140
Gala dinner 47 47
Registration fees for participants cover: admission to sessions and
commercial exhibition, congress material and book of proceedings,
coffee breaks, get-together reception, visit to Israel Museum and
Israeli folklore performance.
Mode of payment: out of the USA: by bank draft to MIE'93, credit
cards (VISA or AMEX), by bank transfer to MIE'93, account no. 399876
Israel Discount Bank, Branch 100, 4 Rotschild Blvd., 66881 Tel Aviv,
Israel. In the USA: send registration form and fee made out to
Tzell Travel (see below).
ACCOMODATION
Two persons Single
Ramada Renassaince (*****) $ 120 $ 103
Sonesta (****) 80 74 +
Knesset (****) 80 74 +
Jerusalem Gate (****) 75 68
Student hostels please apply
+ Adjacent to Ramada Hotel
Reservations: cheque or bank order of US$ 100 per person to International Ltd.
OPTIONAL PRE- AND POST-CONGRESS TOURS
Jerusalem and Betlehem (Apr 18), Galilee and Golan Heights (April 23-26)
Galilee, Golan Heights and Jerusalem (April 23-27), Eilat (April 23-25).
CONGRESS/SECRETARIAT
MIE 93
c/o International Ltd
PO Box 29313
10 Rotschild Blvd.
61292 Tel Aviv, Israel
Tel. +972 3 5102538
Fax +972 3 660604
Tlx. 371 767 INTVL IL
TRAVEL/ACCOMODATION
Tzell Travel
70 W 36th Street
New York NY 10018 USA
Tel. +1 212 279 3700 toll free +1 800 288 7908
Fax +1 212 465 8179
ORGANIZING COMMITEE
Assa Reichert - Chairman
Joseph Tanner - Secretary General
(abridged and transcribed from official MIE'93 folder)
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End of ML-LIST (Digest format)
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