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Machine Learning List Vol. 4 No. 04
Machine Learning List: Vol. 4 No. 4
Wednesday Feb. 19, 1992
Contents:
Research Position -- GTE
Summer job available at NASA Ames Research Center
Georgia Tech technical reports available by anonymous FTP
Knowledge Assimilation AAAI spring symposium
CFP: Artificial Intelligence and Statistics
SAB92 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
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the volume and number of the issue; ID: anonymous PASSWORD: <your mail address>
------------------------------
Date: Wed, 12 Feb 92 09:55:26 -0500
From: Rich Sutton <rich@gte.COM>
Subject: Research Position -- GTE
The machine learning group at GTE Laboratories is seeking a researcher
for their connectionist machine learning project. The primary
requirement is a demonstrated ability to perform and publish world-class
research in computational models of learning, preferably within the
context of real-time control. Candidates should also be eager to
pursue applications of their research within GTE businesses. GTE is a
large communications company, with major businesses in local telephone
operations, mobile communications, and government systems. GTE Labs has
had one of the largest machine learning research groups in industry for
about eight years.
A doctorate in Computer Science, Computer Engineering or Mathematics
is required, and post-graduate experience is preferred. A demonstrated
ability to communicate effectively in writing and in technical and
business presentations is also required.
Please send resumes and correspondence to:
June Pierce
GTE Laboratories Incorporated
Mail Stop 44
40 Sylvan Road
Waltham, MA 02254
USA
------------------------------
Date: Wed, 19 Feb 92 14:42:24 PST
From: Kevin Thompson <kthompso@ptolemy.arc.nasa.GOV>
Subject: Summer job available at NASA Ames Research Center
SUMMER POSITION AT NASA AMES
------------------------------
The Icarus project at NASA Ames has a summer position available. The
project's aim is to develop an architecture that integrates perception,
planning, and action, that learns from experience with a physical
environment, and that is constrained by knowledge of human behavior.
The group currently includes four researchers -- Pat Langley, Wayne
Iba, Kevin Thompson, and John Allen.
The group is located within the AI Research Branch, which is composed
of over 50 researchers involved in both basic and applied research that
supports NASA goals. Ames Research Center is adjacent to Mountain
View, California, approximately 40 miles from San Francisco and 20
miles from San Jose.
Responsibilities for the summer position will focus on integrating the
implemented components of Icarus, encoding knowledge for use by the
architecture, and experimenting with the resulting system. Implementation
will be in Common Lisp on a Sun workstation. Applicants should have
experience with Common Lisp and C. Experience in machine learning,
experimental evaluation of AI systems, and user interface design is
desirable. We anticipate a co-authored workshop or conference submission
will result from the summer's activities, and depending on interest and
continuing involvement, we see several lines of ongoing research available
for the successful student.
The position is ideally suited for a second or first year graduate student,
but talented undergraduate applicants or others will be considered. To apply
for the position, or to get more information, contact (by email or US mail)
John Allen
AI Research Branch
NASA Ames Research Center
Mail Stop 269-2
Moffett Field, CA 94035
allen@ptolemy.arc.nasa.gov
Applicants should submit a resume that addresses the above issues, and a list
of references. Please include a phone number and email address (if
available) for each reference.
------------------------------
Date: Wed, 19 Feb 92 15:35:11 EST
From: Ashwin Ram <ashwin@cc.gatech.EDU>
Subject: Georgia Tech technical reports available by anonymous FTP
The following technical reports are available by anonymous FTP from
ftp.cc.gatech.edu (130.207.3.245) in the directory pub/ai. (Downloading
information follows the abstracts.)
git-cc-92-02.ps A THEORY OF QUESTIONS AND QUESTION ASKING
This article focusses on knowledge goals, that is, the goals of a reasoner to
acquire or reorganize knowledge. Knowledge goals, often expressed as questions,
arise when the reasoner's model of the domain is inadequate in some reasoning
situation. This leads the reasoner to focus on the knowledge it needs, to
formulate questions to acquire this knowledge, and to learn by pursuing its
questions. I develop a theory of questions and of question-asking, motivated
both by cognitive and computational considerations, and I discuss the theory in
the context of the task of story understanding. I present a computer model of
an active reader that learns about novel domains by reading newspaper stories.
(Also appears in The Journal of the Learning Sciences, 1(3&4), 273--318, 1991.)
git-cc-92-03.ps INDEXING, ELABORATION AND REFINEMENT: INCREMENTAL
LEARNING OF EXPLANATORY CASES
This article describes how a reasoner can improve its understanding of an
incompletely understood domain through the application of what it already knows
to novel problems in that domain. Case-based reasoning is the process of using
past experiences stored in the reasoner's memory to understand novel situations
or solve novel problems. However, this process assumes that past experiences
are well understood and provide good "lessons" to be used for future situations.
This assumption is usually false when one is learning about a novel domain,
since situations encountered previously in this domain might not have been
understood completely. Furthermore, the reasoner may not even have a case that
adequately deals with the new situation, or may not be able to access the case
using existing indices. We present a theory of incremental learning based on
the revision of previously existing case knowledge in response to experiences in
such situations. The theory has been implemented in a case-based story
understanding program that can (a) learn a new case in situations where no case
already exists, (b) learn how to index the case in memory, and (c) incrementally
refine its understanding of the case by using it to reason about new situations,
thus evolving a better understanding of its domain through experience. This
research complements work in case-based reasoning by providing mechanisms by
which a case library can be automatically built for use by a case-based
reasoning program. (To appear in Machine Learning, special issue on case-based
reasoning and learning.)
git-cc-92-04.ps THE USE OF EXPLICIT GOALS FOR KNOWLEDGE TO GUIDE
INFERENCE AND LEARNING
Combinatorial explosion of inferences has always been a central problem in
artificial intelligence. Although the inferences that can be drawn from a
reasoner's knowledge and from available inputs is very large (potentially
infinite), the inferential resources available to any reasoning system are
limited. With limited inferential capacity and very many potential inferences,
reasoners must somehow control the process of inference. Not all inferences are
equally useful to a given reasoning system. Any reasoning system that has goals
(or any form of a utility function) and acts based on its beliefs indirectly
assigns utility to its beliefs. Given limits on the process of inference, and
variation in the utility of inferences, it is clear that a reasoner ought to
draw the inferences that will be most valuable to it. This paper presents an
approach to this problem that makes the utility of a (potential) belief an
explicit part of the inference process. The method is to generate explicit
desires for knowledge. The question of focus of attention is thereby
transformed into two related problems: How can explicit desires for knowledge be
used to control inference and facilitate resource-constrained goal pursuit in
general? and, Where do these desires for knowledge come from? We present a
theory of knowledge goals, or desires for knowledge, and their use in the
processes of understanding and learning. The theory is illustrated using two
case studies, a natural language understanding program that learns by reading
novel or unusual newspaper stories, and a differential diagnosis program that
improves its accuracy with experience. (To appear in Applied Intelligence.)
ABOUT THE ARCHIVE:
This archive contains technical reports published by the AI Group, College of
Computing, Georgia Tech, as well as electronic reprints of articles from major
journals and conferences. Each publication is available as a text file in
standard Postscript format, and should be printable using any standard method of
printing Postscript files. Let me know if you have any problems with
downloading or printing.
Check the README file for more details, and the ABSTRACTS file for more
information, including abstracts, authors and publication information.
CONTENTS:
This archive currently contains the following publications.
git-cc-92-02.ps A Theory of Questions and Question Asking
git-cc-92-03.ps Indexing, Elaboration and Refinement: Incremental Learning of Explanatory Cases
git-cc-92-04.ps The Use of Explicit Goals for Knowledge to Guide Inference and Learning
er-90-01.ps Incremental Learning of Explanation Patterns and their Indices
er-90-02.ps Knowledge Goals: A Theory of Interestingness
er-90-03.ps Decision Models: A Theory of Volitional Explanation
er-91-02.ps A Goal-based Approach to Intelligent Information Retrieval
er-91-03.ps Evaluation of Explanatory Hypotheses
Also, soon to appear (ask me for a paper copy if you're impatient :-)):
git-cc-91-37.ps Learning Momentum: On-line Performance Enhancement for Reactive Systems
er-91-01.ps Learning Indices for Schema Selection
er-91-04.ps Using Introspective Reasoning to Select Learning Strategies
er-91-05.ps Interest-based Information Filtering and Extraction in Natural Language Understanding Systems
HOW TO DOWNLOAD:
All files are retrievable using anonymous FTP from ftp.cc.gatech.edu
(130.207.3.245) from the directory /pub/ai. Login as anonymous and enter
your real name as the password. Here is a sample session illustrating how
to download the ABSTRACTS file:
% ftp ftp.cc.gatech.edu
Connected to solaria.cc.gatech.edu.
220 solaria FTP server (SunOS 4.1) ready.
Name (ftp.cc.gatech.edu:ashwin): anonymous
331 Guest login ok, send ident as password.
Password:
230 Guest login ok, access restrictions apply.
ftp> cd pub/ai
250 CWD command successful.
ftp> ls
200 PORT command successful.
150 ASCII data connection for /bin/ls (130.207.4.33,1518) (0 bytes).
ABSTRACTS
README
er-90-01.ps
er-90-02.ps
er-90-03.ps
er-91-02.ps
er-91-03.ps
git-cc-92-02.ps
git-cc-92-03.ps
git-cc-92-04.ps
226 ASCII Transfer complete.
135 bytes received in 0.64 seconds (0.21 Kbytes/s)
ftp> get ABSTRACTS
200 PORT command successful.
150 ASCII data connection for ABSTRACTS (130.207.4.33,1519) (15222 bytes).
226 ASCII Transfer complete.
local: ABSTRACTS remote: ABSTRACTS
15461 bytes received in 1.9 seconds (8 Kbytes/s)
ftp> quit
221 Goodbye.
------------------------------
Date: Fri, 14 Feb 92 11:47:44 PST
From: Charles Elkan <elkan@cs.UCSD.EDU>
Subject: Knowledge Assimilation AAAI spring symposium
Anyone interested in machine learning is encouraged to attend this workshop!
1992 AAAI SPRING SYMPOSIUM
KNOWLEDGE ASSIMILATION
March 25-27, 1992
Stanford University
In recent years much machine learning research has concentrated on
speedup learning and concept induction as separate tasks. Important
new paradigms have emerged, notably explanation-based learning and PAC
theory. However, little attention has been paid to learning techniques
that enable an agent to improve its performance along multiple
dimensions over time. The symposium will focus on this task as a
potential new unifying theme for research. The title Knowledge
Assimilation} calls attention to the need to mesh together existing
and newly acquired knowledge in improving the overall competence of
an agent.
FORMAT
The symposium will consist of panel discussions and paper presentations.
The papers presented will be made available to participants (but not
to others) in a bound volume of symposium working notes.
The symposium is conveniently scheduled to finish at 12.30 on Friday
March 27, thus allowing a weekend of beautiful spring skiing at Lake
Tahoe.
The organizing committee consists of Tom Dietterich (Oregon State
University), Charles Elkan (University of California at San Diego),
Oren Etzioni (University of Washington), and Bart Selman (ATT Bell
Laboratories).
REGISTRATION
To register, please contact the AAAI office at sss@aaai.org immediately.
For more information, contact Charles Elkan at elkan@cs.ucsd.edu or
phone (619) 534-8897.
LIST OF PAPERS TO BE PRESENTED
1) Learning to Assimilate Reactive and Deliberative Knowledge
in Planning and Scheduling
Steve A. Chien, Melinda T. Gervasio, Gerald F. DeJong
2) Learning to Predict DNA Hydration Patterns
Dawn Cohen, Casimir Kulikowski, Bohdan Schneider, Helen Berman
3) Compiling Prior Knowledge Into an Explicit Bias
William W. Cohen
4) Structure Identification in Relational Data
Rina Dechter, Judea Pearl
5) A Personal Learning Apprentice
Lisa Dent, Jesus Boticario, John McDermott,
Tom Mitchell, David Zabowski
6) Softbots as Testbeds for Machine Learning
Oren Etzioni, Richard Segal
7) Probabilistic Revision of Relational Theories
Ronen Feldman, Moshe Koppel, Alberto Segre
8) Learning Near-Optimal Horn Approximations
Russell Greiner
9) Forming Concepts for Fast Inference
Henry Kautz, Bart Selman
10) Oblivious PAC Learning of Concept Hierarchies
Michael J. Kearns
11) Reasoning about Multiple Uses of Learned Concepts
Bruce Krulwich, Lawrence Birnbaum, Gregg Collins
12) Building and Maintaining Causal Theories
Ashesh Mahidadia, Claude Sammut, Paul Compton
13) Batch versus Incremental Theory Refinement
Raymond J. Mooney
14) Learning as Knowledge Integration: A Case Study
Kenneth S. Murray
15) Knowledge Enhancement and Refinement in Case-Based Reasoning
Evangelos Simoudis
16) Measuring Utility and the Design of Provably Good EBL Algorithms
Devika Subramanian, Scott Hunter
17) Concept Learning from Inference Pattern to Improve Performance
Ken'ichi Yoshida, Hiroshi Motoda
------------------------------
From: david@hoqaa.att.COM
Date: Wed, 12 Feb 92 23:51 EST
Subject: Artificial Intelligence and Statistics
To: pazzani@ics.uci.edu
Message-ID: <9202122130.aa26658@q2.ics.uci.edu>
*****************************************************************
Call For Papers
Fourth International Workshop on
Artificial Intelligence
and
Statistics
January 3-6, 1993
Ft. Lauderdale, Florida
*****************************************************************
PURPOSE:
This is the fourth in a series of workshops which has
brought together researchers in Artificial Intelligence and in
Statistics to discuss problems of mutual interest. The result has
been an unqualified success. The exchange has broadened research
in both fields and has strongly encouraged interdisciplinary work.
This workshop will have as its primary theme:
``Selecting models from data''
Papers on other aspects of the interface between A.I. & Statistics
are *strongly* encouraged as well (see TOPICS below).
FORMAT:
To encourage interaction and a broad exchange of ideas, the
presentations will be limited to 18 discussion papers in single
session meetings over the three days. Focussed poster sessions
will provide the means for presenting and discussing the remaining
research papers.
Attendance at the workshop will *not* be limited.
The three days of research presentations will be preceded by a day
of tutorials. These are intended to expose researchers in each
field to the methodology used in the other field.
LANGUAGE:
The language will be English.
TOPICS OF INTEREST:
The fourth workshop has a primary theme of
``Selecting models from data''.
At least one third of the workshop schedule will be set aside for
papers with this theme. We particularly encourage papers
on the following topics:
- model selection
- model search
- model validation
- integrated man-machine modelling methods
- software tools and environments for the above.
Other themes will be developed according to the strength of the
papers in other areas of the interface between AI & Statistics.
We strongly encourage research papers on the following areas as
well:
- empirical discovery and statistical methods for knowledge
acquisition
- probability and search
- uncertainty propagation
- combined statistical and qualitative reasoning
- inferring causation
- quantitative programming tools and integrated software for
data analysis and modelling.
- discovery in databases
- meta data and design of statistical data bases
- automated data analysis and knowledge representation for
statistics
- machine learning
- clustering and concept formation.
SUBMISSION REQUIREMENTS:
Three copies of an extended abstract (up to four pages) should be
sent by air mail to
P. Cheeseman, Programme Chair
4th Int'l Workshop on AI & Stats
NASA Ames Research Center
MS 269-2
Moffett Field
CA 94035
USA
or electronically (latex documents preferred) to either
ai-stats@watstat.waterloo.edu
or
ai-stats@watstat.uwaterloo.ca
Submissions for discussion papers (and poster presentations) will
be considered if postmarked by June 30, 1992. If the submission
is electronic (e-mail), then it must be *received* by midnight
June 30, 1992.
Abstracts received after this date but *before* July 31, 1992,
will be considered for poster presentation *only*.
Please indicate which topic(s) your abstract addresses and include
an electronic mail address for correspondence.
Acceptance notices will be mailed by September 1, 1992.
Preliminary papers (up to 20 pages) must be returned by November 1,
1992. These preliminary papers will be copied and distributed at
the workshop.
PROGRAM COMMITTEE:
General Chair: R.W. Oldford U. of Waterloo, Canada
Programme Chair: P. Cheeseman NASA (Ames), USA
Members:
W. Buntine NASA (Ames), USA
Wm. DuMouchel USA
D.J. Hand Open University, UK
W.A. Gale AT&T Bell Labs, USA
D. Lubinsky AT&T Bell Labs, USA
M. McLeish U. of Guelph, Canada
E. Neufeld U. of Saskatchewan, Canada
J. Pearl UCLA, USA
D. Pregibon AT&T Bell Labs, USA
P. Shenoy U. of Kansas, USA
P. Smythe JPL, USA
SPONSORS:
Society for Artificial Intelligence And Statistics
International Association for Statistical Computing
------------------------------
Date: Wed, 12 Feb 92 13:52:58 EST
From: Lashon Booker <booker@starbase.mitre.org>
Subject: SAB92 Call for papers
============================================================================
Conference Announcement and Call For Papers
FROM ANIMALS TO ANIMATS
Second International Conference on Simulation of Adaptive Behavior (SAB92)
Ilikai Hotel
Honolulu, Hawaii, December 7-11, 1992
This conference is the successor to SAB90 - which was held in Paris
in September, 1990. Its object is to bring together researchers in
ethology, psychology, ecology, cybernetics, artificial intelligence,
robotics, and related fields so as to further our understanding of
the behaviors and underlying mechanisms that allow animals and,
potentially, robots to adapt and survive in uncertain environments.
The conference will focus particularly on simulation models in order
to help characterize and compare various organizational principles
or architectures capable of inducing adaptive behavior in real or
artificial animals.
Contributions treating any of the following topics from the
perspective of adaptive behavior will receive special emphasis.
Individual and collective behavior Autonomous robots
Neural correlates of behavior Hierarchical and parallel organizations
Perception and motor control Emergent structures and behaviors
Motivation and emotion Problem solving and planning
Action selection and behavioral Goal directed behavior
sequences Neural networks and classifier systems
Ontogeny, learning and evolution Characterization of environments
Internal world models Applied adaptive behavior
and cognitive processes
Submission Instructions
Authors are requested to send two copies (hard copy only) of a full paper
to each of the Conference co-chairs (Meyer, Roitblat, & Wilson). Papers
should not exceed 10 pages (excluding the title page), with 1 inch margins
all around, and no smaller than 10 pt (12 pitch) type (Times Roman preferred).
Each paper must include a title page containing the following: (1) Full
names, postal addresses, phone numbers, email addresses (if available),
and fax numbers for each author, (2) A 100-200 word abstract, (3) The
topic area(s) in which the paper could be reviewed (see list above). Camera
ready versions of the papers will be required after acceptance.
Computer, video, and robotic demonstrations are also invited. Please contact
Herbert Roitblat to make arrangements for demonstrations. Other program
proposals will also be considered.
Conference committee
Conference Chair
Jean-Arcady MEYER
Groupe de Bioinformatique
URA686.Ecole Normale Superieure
46 rue d'Ulm
75230 Paris Cedex 05
France
e-mail: meyer@wotan.ens.fr
meyer@frulm63.bitnet
Herbert ROITBLAT
Department of Psychology
University of Hawaii at Manoa
2430 Campus Road
Honolulu, HI 96822
USA
email: roitblat@uhunix.bitnet,
roitblat@uhunix.uhcc.hawaii.edu
Stewart WILSON
The Rowland Institute for Science
100 Cambridge Parkway
Cambridge, MA 02142
USA
e-mail: wilson@smith.rowland.org
Organizing Committee S. Gagnon, H. Harley, D. Helweg, M. Hoffhines,
Program Committee
A. Berthoz, France M. Bitterman, USA
L. Booker, USA R. Brooks, USA
P. Colgan, Canada J. Delius, Germany
S. Goss, Belgium L. Steels, Belgium
R. Sutton, USA F. Toates, UK
S. Tsuji, Japan W. Uttal, USA
D. Waltz, USA
Official Language: English
Important Dates
JUL 15, 1992 Submissions must be received by the organizers
SEP 1, 1992 Deadline for early registration
OCT 1, 1992 Notification of acceptance or rejection
NOV 7, 1992 Deadline for regular registration
NOV 15, 1992 Camera ready revised versions due
DEC 7-11, 1992 Conference dates
Registration
All participants must register. Early registration fee will be $180,
regular registration will be $220 and late registration will be $250.
Students will be allowed to register for $50. Students should submit
proof of their status along with their registration fee. The fee for
accompanying persons is $75, which includes the reception and the cruise.
Meeting Site
The conference activities will be held at the Ilikai Hotel. The Ilikai
is situated at the gateway to Waikiki within walking distance of many
fine restaurants, Ala Moana Shopping Center, and Ala Moana Park. The
Hotel overlooks the Ala Wai Yacht Marina where Waikiki Beach begins.
Room rates for the conference are $110 or $125 per night (single or
double). Most rooms have been recently remodelled and provide ocean
or city views. The hotel is adjacent to the beach and also offers two
swimming pools, a fitness center, and tennis courts. Reservations
must be made directly with the hotel. Conference rates will be
available for the weekend before and the weekend following the
conference as well. Arrangements have been made for a small number of
student rooms in a nearby hotel at about $55 per night (single or
double). Students are, of course, welcome to stay in the conference
hotel. Reservations for student rooms will be made through the
official travel agent. A small number of travel scholarships may be
available to defray part or all of the expenses of attending the
conference. Interested students should submit a letter of application
describing their research interests, the year they expect to receive
their degree, and a brief letter of recommendation from their major
professor. Please state the amount of support required. The number and
size of awards will be limited by the total money available.
Persons with disabilities may contact Herbert Roitblat for information
on accessibility. Advance notice is advised, if you have special
needs and request an accomodation. The University of Hawaii is an
Equal Opportunity/Affirmative Action Institution.
Travel Information
Theo Stahl, Associated Travel, 947 Keeaumoku Street, Honolulu, HI 96814
(808) 949-1033, (800) 745-3444, (808) 949-1037 (fax) is the official travel
agent for the conference. Participants are encouraged, but not required,
to make their travel arrangements through Ms Stahl. United Airlines is
offering a special conference rate for participants from US as well as
European, Japanese, and Australian gateway cities served by United.
Ms Stahl is very knowledgeable about the local travel market and can make
arrangements to visit neighbor islands (including Hawaii with its active
volcano) and for other activities.
Please make your travel arrangements early because Hawaii is a popular
destination in December and the conference is scheduled just before
the start of the busiest season.
Tentative Conference Schedule
Sunday, December 6, 1992
1800-2000 Cocktail Reception at the Ilikai
Monday, December 7, 1992
0800-1230 Paper presentations
Break
1630-1900 Paper and poster presentations
Tuesday, December 8, 1992
0800-1230 Paper presentations
Break
1630-1900 Paper and poster presentations
Wednesday, December 9, 1992
0800-1230 Paper presentations
Break
1630-1900 Paper and poster presentations
Thursday, December 10, 1992
0800-1230 Paper presentations
Break
1630-1900 Paper and poster presentations
2100-2400 Cruise on the Navatek I
Friday, December 11, 1992
0800-1330 Paper presentations
1900 Optional Luau (not included in registration).
SAB92 December 7-11, 1992
CONFERENCE REGISTRATION FORM
Ilikai Hotel, Honolulu, HI
SAB92, December 7-11, 1992
____________________________________________________________
Last Name First Name Middle
____________________________________________________________
Professional Affiliation
____________________________________________________________
Street Address and Internal Mail Code
____________________________________________________________
City State/Country Zip/Postal Code
____________________________________________________________
E-mail Telephone Fax
Registration Fees (includes reception, cruise, continental
breakfasts)
___ Early (Before September 1, 1992) $180
___ Regular (Before November 7, 1992) $220
___ Late (After November 7, 1992) $250
___ Student (with proof of status) $50
___ Accompanying person (number of persons) $75
___ Luau (number of tickets) $45
___ Donation to support student scholarship fund $____
Enclosed is a check or money order (US $ only, payable to
University of Hawaii) for $_______
Return to: SAB92 Registration, Conference Center, University
of Hawaii, 2530 Dole Street, Honolulu, HI 96822.
SAB92 December 7-11, 1992
Hotel Registration
Ilikai Hotel
Name _____________________________________________________
Address _________________________________________________
City ____________________________________________________
State/Country, Zip ______________________________________
Telephone Number ________________________________________
Arrival Date ____________________________________________
Departure Date __________________________________________
No. of Persons __________________________________________
Preferred Room rate:
_____ 1 or 2 persons $110+tax
_____ 1 or 2 persons $125+tax
_____ 1 Bed _____ 2 Beds
_____ Handicapped Accessible
All reservations must be guaranteed by check or credit card
deposit for one night lodging.
Amount of enclosed check: $_____
Charge to: ___Visa ___ Mastercard ___American Express
___Diner's Club ___Discover
Credit card Number: _______________________
Expiration Date: ________
Signature ___________________________________
Request and deposit must be received by November 7, 1992.
Check-in time is 3:00. Check-out time is 12:00.
Mail hotel registration directly to the Ilikai Hotel,
1777 Ala Moana Blvd, Honolulu, HI 96815. (800) 367-8434.
(808) 947-4523 (fax). In Britain: 0800 282502
In Tokyo: 03-3281-4321
------------------------------
END of ML-LIST 4.4
