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VISION-LIST Digest 1989 02 10
Vision-List Digest Fri Feb 10 17:04:04 PDT 89
- Send submissions to Vision-List@ADS.COM
- Send requests for list membership to Vision-List-Request@ADS.COM
Today's Topics:
What conferences and workshops should Vision List report?
NIPS Call for Papers
6th International Workshop on Machine Learning
Workshop on Models of Complex Human Learning
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Date: Fri, 10 Feb 89 17:07:12 EST
From: Vision-List moderator Phil Kahn <Vision-List-Request@ADS.COM>
Subject: What conferences and workshops should Vision List report?
If you've noticed, when there are several conference and workshop
proceedings, I bundle them into a single List so regular postings aren't
swamped. Hope this helps.
Of the following three conferences and workshops, I only consider the
NIPS conference to be of interest to the Vision List. The others I
believe are more mainstream AI, and hence are not appropriate for the
Vision List.
Though I tend not to like editorially restricting submitted material, I
favor eliminating conference, seminar, and workshop postings which do
not bear a strong relationship to vision. This is just to let you know
of this policy, since as the readership, this is your list. If you do
not agree, please post your reasons to the List.
I am trying to tighten the content to decrease clutter. In particular,
I want to continue seeing more vision discussions and less peripheral
postings.
phil...
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Date: Thu, 9 Feb 89 13:16:17 EST
From: jose@tractatus.bellcore.com (Stephen J Hanson)
Subject: NIPS CALL FOR PAPERS
IEEE Conference on Neural Information Processing Systems
- Natural and Synthetic -
Monday, November 27 -- Thursday November 30, 1989
Denver, Colorado
This is the third meeting of a high quality, relatively small,
inter-disciplinary conference which brings together neuroscientists,
engineers, computer scientists, cognitive scientists, physicists, and
mathematicians interested in all aspects of neural processing and
computation. Several days of focussed workshops will follow at a
nearby ski area. Major categories and examples of subcategories for
papers are the following:
[ 1. Neuroscience: ] Neurobiological models of development, cellular
information processing, synaptic function, learning, and memory.
Studies and analyses of neurobiological systems and development of
neurophysiological recording tools.
[ 2. Architecture Design: ] Design and evaluation of net
architectures to perform cognitive or behavioral functions and to
implement conventional algorithms. Data representation; static
networks and dynamic networks that can process or generate pattern
sequences.
[ 3. Learning Theory: ] Models of learning; training paradigms for
static and dynamic networks; analysis of capability, generalization,
complexity, and scaling.
[ 4. Applications: ] Applications to signal processing, vision,
speech, motor control, robotics, knowledge representation, cognitive
modelling and adaptive systems.
[ 5. Implementation and Simulation: ] VLSI or optical implementations
of hardware neural nets. Practical issues for simulations and
simulation tools.
Technical Program: Plenary, contributed, and poster sessions will be
held. There will be no parallel sessions. The full text of presented papers
will be published.
Submission Procedures: Original research contributions are
solicited, and will be refereed by experts in the respective
disciplines. Authors should submit four copies of a 1000-word (or
less) summary and four copies of a single-page 50-100 word abstract
clearly stating their results by May 30, 1989. Indicate preference for
oral or poster presentation and specify which of the above five broad
categories and, if appropriate, sub-categories (for example, Learning
Theory: Complexity , or Applications: Speech ) best applies to your
paper. Indicate presentation preference and category information at
the bottom of each abstract page and after each summary. Failure to do
so will delay processing of your submission. Mail submissions to
Kathie Hibbard, NIPS89 Local Committee, Engineering Center, Campus Box
425, Boulder, CO, 80309-0425.
Organizing Committee
Scott Kirkpatrick, IBM Research, General Chairman;
Richard Lippmann, MIT Lincoln Labs, Program Chairman;
Kristina Johnson, University of Colorado, Treasurer;
Stephen J. Hanson, Bellcore, Publicity Chairman;
David S. Touretzky, Carnegie-Mellon, Publications Chairman;
Kathie Hibbard, University of Colorado, Local Arrangements;
Alex Waibel, Carnegie-Mellon, Workshop Chairman;
Howard Wachtel, University of Colorado, Workshop Local Arrangements;
Edward C. Posner, Caltech, IEEE Liaison;
James Bower, Caltech, Neurosciences Liaison;
Larry Jackel, AT T Bell Labs, APS Liaison
DEADLINE FOR SUMMARIES ABSTRACTS IS MAY 30, 1989
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Date: Sat, 4 Feb 89 21:52:51 -0500
From: segre@gvax.cs.cornell.edu (Alberto M. Segre)
Subject: 6th International Workshop on Machine Learning
Organization: Cornell Univ. CS Dept, Ithaca NY
Call for Papers:
Sixth International Workshop on Machine Learning
Cornell University
Ithaca, New York; U.S.A.
June 29 - July 1, 1989
The Sixth International Workshop on Machine Learning will be
held at Cornell University from June 29 through July 1, 1989.
The workshop will be divided into six parallel sessions, each
focusing on a different theme:
Combining Empirical and Explanation-Based Learning (M. Pazzani,
chair). Both empirical evaluation and theoretical analysis have
been used to identify the strengths and weaknesses of
individual learning methods. Integrated approaches to learning
have the potential of overcoming the limitations of individual
methods. Papers are solicited exploring hybrid techniques
involving, for example, explanation-based learning, case-based
reasoning, constructive induction, or neural networks.
Empirical Learning; Theory and Application (C. Sammut, chair).
This session will be devoted to discussions on inductive (also
called empirical) learning with particular emphasis on results
that can be justified by theory or experimental evaluation.
Papers should characterize methodologies (either formally or
experimentally), their performance and/or problems for which
they are well/ill suited. Comparative studies applying
different methodologies to the same problem are also invited.
Learning Plan Knowledge (S. Chien and G. DeJong, co-chairs).
This session will explore machine learning of plan-related
knowledge; specifically, learning to construct, index, and
recognize plans by using explanation-based, empirical, case-
based, analogical, and connectionist approaches.
Knowledge-Base Refinement and Theory Revision (A. Ginsberg,
chair). Knowledge-base refinement involves the discovery of
plausible refinements to a knowledge base in order to improve
the breadth and accuracy of the associated expert system. More
generally, theory revision is concerned with systems that start
out having some domain theory, but one that is incomplete and
fallible. Two basic problems are how to use an imperfect
theory to guide one in learning more about the domain as more
experience accumulates, and how to use the knowledge so gained
to revise the theory in appropriate ways.
Incremental Learning (D. Fisher, chair, with J. Grefenstette, J.
Schlimmer, R. Sutton, and P. Utgoff). Incremental learning
requires continuous adaptation to the environment subject to
performance constraints of timely response, environmental
assumptions such as noise or concept drift, and knowledge base
limitations. Papers that cross traditionally disparate
paradigms are highly encouraged, notably rule-based,
connectionist, and genetic learning; explanation-based and
inductive learning; procedure and concept learning;
psychological and computational theories of learning; and
belief revision, bounded rationality, and learning.
Representational Issues in Machine Learning (D. Subramanian,
chair). This session will study representational practice in
machine learning in order to understand the relationship
between inference (inductive and deductive) and choice of
representation. Present-day learners depend on careful
vocabulary engineering for their success. What is the nature
of the contribution representation makes to learning, and how
can we make learners design/redesign hypotheses languages
automatically? Papers are solicited in areas including, but not
limited to, bias, representation change and reformulation, and
knowledge-level analysis of learning algorithms.
PARTICIPATION
Each workshop session is limited to between 30 and 50
participants. In order to meet this size constraint, attendance
at the workshop is by invitation only. If you are active in
machine learning and you are interested in receiving an
invitation, we encourage you to submit a short vita (including
relevant publications) and a one-page research summary describing
your recent work.
Researchers interested in presenting their work at one of
the sessions should submit an extended abstract (4 pages maximum)
or a draft paper (12 pages maximum) describing their recent work
in the area. Final papers will be included in the workshop
proceedings, which will be distributed to all participants.
SUBMISSION REQUIREMENTS
Each submission (research summary, extended abstract, or
draft paper) must be clearly marked with the author's name,
affiliation, telephone number and Internet address. In addition,
you should clearly indicate for which workshop session your
submission is intended.
Deadline for submission is March 1, 1989. Submissions should be
mailed directly to:
6th International Workshop on Machine Learning
Alberto Segre, Workshop Chair
Department of Computer Science
Upson Hall
Cornell University
Ithaca, NY 14853-7501
USA
Telephone: (607) 255-9196
Internet: ml89@cs.cornell.edu
While hardcopy submissions are preferred, electronic
submissions will be accepted in TROFF (me or ms macros), LaTeX or
plain TeX. Electronic submissions must consist of a single file.
Be sure to include all necessary macros; it is the responsibility
of the submitter to ensure his/her paper is printable without
special handling. Foreign contributors may make special
arrangements on an individual basis for sending their submissions
via FAX.
Submissions will be reviewed by the individual session
chair(s). Determinations will be made by April 1, 1989.
Attendance at the workshop is by invitation only; you must submit
a paper, abstract or research summary in order to be considered.
While you may make submissions to more than one workshop session,
each participant will be invited to only one session.
IMPORTANT DATES
March 1, 1989
Submission deadline for research summaries, extended
abstracts and draft papers.
April 1, 1989
Invitations issued; presenters notified of acceptance.
April 20, 1989
Final camera-ready copy of accepted papers due for inclusion
in proceedings.
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Date: Sat, 4 Feb 89 21:57:40 -0500
From: segre@gvax.cs.cornell.edu (Alberto M. Segre)
Subject: Workshop on Models of Complex Human Learning
Organization: Cornell Univ. CS Dept, Ithaca NY
CALL FOR PARTICIPATION
WORKSHOP ON
MODELS OF COMPLEX HUMAN LEARNING
Cornell University
Ithaca, New York U.S.A.
June 27-28, 1989
Sponsored by ONR Cognitive Science Branch
This two-day workshop will bring together researchers whose
learning research gives attention to human data and has
implications for understanding human cognition. Of particular
interest is learning research that relates to complex problem-
solving tasks. There is an emphasis on symbol-level learning.
The workshop will be limited to 30-50 attendees. Workshop
presentations will be one hour in length, so as to allow in-depth
presentation and discussion of recent research. Areas of interest
include:
Acquisition of Programming Skills
Apprenticeship Learning
Case Based Reasoning
Explanation Based Learning
Knowledge Acquisition
Learning of Natural Concepts and Categories
Learning of Problem Solving Skills
Natural Language Acquisition
Reasoning and Learning by Analogy
The initial list of presenters is based on past proposals
accepted by ONR. This call for papers solicits additional
submissions. The current list of ONR-sponsored presenters
includes:
John Anderson (Carnegie Mellon)
Tom Bever (Univ. of Rochester)
Ken Forbus (Univ. of Illinois)
Dedre Gentner (Univ. of Illinois)
Chris Hammond (Univ. Chicago)
Ryszard Michalski (George Mason Univ.)
Stellan Ohlsson (Univ. of Pittsburgh)
Kurt VanLehn (Carnegie Mellon)
David Wilkins (Univ. of Illinois)
SUBMISSIONS
Presenters: Send four copies of (i) a previously published
paper with a four page abstract that describes recent work or
(ii) a draft paper. These materials will be used to select
presenters; no workshop proceedings will appear. Please indicate
whether you would consider being involved just as a participant.
Participants: Send four copies of a short vitae that
includes relevant publications, and a one-page description of
relevant experience and projects.
Submission Format: Hardcopy submissions are preferred, but
electronic submissions will also be accepted in TROFF (ME or MS
macros), LaTeX or plain TeX. Electronic submissions must consist
of a single file that includes all the necessary macros and can
be printed without special handling.
Deadlines: All submissions should be received by the program
chair by Tuesday, March 28, 1989; they will be acknowledged upon
receipt. Notices of acceptance will be mailed by May 1, 1989.
PROGRAM CHAIR
David C. Wilkins
Dept. of Computer Science
University of Illinois
1304 West Springfield Ave
Urbana, IL 61801
Telephone: (217) 333-2822
Internet: wilkins@m.cs.uiuc.edu
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End of VISION-LIST
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