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Neuron Digest Volume 13 Number 10
Neuron Digest Tuesday, 1 Mar 1994 Volume 13 : Issue 10
Today's Topics:
March 18 is the new KDD-94 Workshop paper submission deadline
Position in Cognitive Science
Post-Doctoral Position
Postdoctoral Fellowships
Johnson Endowed Chair in In
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issues to "neuron-request@psych.upenn.edu". The ftp archives are
available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by
sending a message to "archive-server@psych.upenn.edu".
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Subject: March 18 is the new KDD-94 Workshop paper submission deadline
From: "R. Uthurusamy" <SAMY@gmr.com>
Date: Tue, 01 Mar 1994 15:52:32 -0500
Note: March 18, 1994 is the new paper submission date for KDD-94 Workshop
--------------
since AAAI has published this later deadline and we intend to honor it.
You are encouraged to submit earlier if at all possible. Thanks.
- -- sam
============================================================================
C a l l F o r P a p e r s
============================================================================
KDD-94: AAAI Workshop on Knowledge Discovery in Databases
Seattle, Washington, July 31-August 1, 1994
===========================================
Knowledge Discovery in Databases (KDD) is an area of common interest for
researchers in machine learning, machine discovery, statistics, intelligent
databases, knowledge acquisition, data visualization and expert systems. The
rapid growth of data and information created a need and an opportunity for
extracting knowledge from databases, and both researchers and application
developers have been responding to that need. KDD applications have been
developed for astronomy, biology, finance, insurance, marketing, medicine,
and many other fields. Core Problems in KDD include representation issues,
search complexity, the use of prior knowledge, and statistical inference.
This workshop will continue in the tradition of the 1989, 1991, and 1993 KDD
workshops by bringing together researchers and application developers from
different areas, and focusing on unifying themes such as the use of domain
knowledge, managing uncertainty, interactive (human-oriented) presentation,
and applications. The topics of interest include:
Applications of KDD Techniques
Interactive Data Exploration and Discovery
Foundational Issues and Core Problems in KDD
Machine Learning/Discovery in Large Databases
Data and Knowledge Visualization
Data and Dimensionality Reduction in Large Databases
Use of Domain Knowledge and Re-use of Discovered Knowledge
Functional Dependency and Dependency Networks
Discovery of Statistical and Probabilistic models
Integrated Discovery Systems and Theories
Managing Uncertainty in Data and Knowledge
Machine Discovery and Security and Privacy Issues
We also invite working demonstrations of discovery systems. The workshop
program will include invited talks, a demo and poster session, and panel
discussions. To encourage active discussion, workshop participation will be
limited. The workshop proceedings will be published by AAAI. As in previous
KDD Workshops, a selected set of papers from this workshop will be considered
for publication in journal special issues and as chapters in a book.
Please submit 5 *hardcopies* of a short paper (a maximum of 12 single-spaced
pages, 1 inch margins, and 12pt font, cover page must show author(s) full
address and E-MAIL and include 200 word abstract + 5 keywords) to reach the
workshop chairman on or before March 1, 1994.
Usama M. Fayyad (KDD-94) | Fayyad@aig.jpl.nasa.gov
AI Group M/S 525-3660 |
Jet Propulsion Lab | (818) 306-6197 office
California Institute of Technology | (818) 306-6912 FAX
4800 Oak Grove Drive |
Pasadena, CA 91109 |
************************************* I m p o r t a n t D a t e s **********
* Submissions Due: March 18, 1994 *
* Acceptance Notice: April 8, 1994 Final Version due: April 29, 1994 *
******************************************************************************
Program Committee
=================
Workshop Co-Chairs:
Usama M. Fayyad (Jet Propulsion Lab, California Institute of Technology)
Ramasamy Uthurusamy (General Motors Research Laboratories)
Program Committee:
Rakesh Agrawal (IBM Almaden Research Center)
Ron Brachman (AT&T Bell Laboratories)
Leo Breiman (University of California, Berkeley)
Nick Cercone (University of Regina, Canada)
Peter Cheeseman (NASA AMES Research Center)
Greg Cooper (University of Pittsburgh)
Brian Gaines (University of Calgary, Canada)
Larry Kerschberg (George Mason University)
Willi Kloesgen (GMD, Germany)
Chris Matheus (GTE Laboratories)
Ryszard Michalski (George Mason University)
Gregory Piatetsky-Shapiro (GTE Laboratories)
Daryl Pregibon (AT&T Bell Laboratories)
Evangelos Simoudis (Lockheed Research Center)
Padhraic Smyth (Jet Propulsion Laboratory)
Jan Zytkow (Wichita State University)
============================================================================
------------------------------
Subject: Position in Cognitive Science
From: "Dr. John A. Spinks" <SPINKS@HKUCC.HKU.HK>
Organization: Dept. of Psychology, The University of Hong Kong, HONG KONG.
Date: Thu, 27 Jan 1994 09:48:05 +0800
I note from a recent email that you are involved in cognitive science
research. I wonder if you could post the following notice about a
position (Asst Professor equiv) on any relevant boards, electronic or
otherwise, or pass it on personally to anyone you think might be
interested. My apologies if you have received this email from a
different source, but we are trying to advertise as widely as possible,
and that means on (one suspects overlapping) sets.
Thanks.
John Spinks,
Associate Dean, Faculty of Social Sciences,
University of Hong Kong.
- ---------------------------------------------------------------
THE UNIVERSITY OF HONG KONG
Lectureship in Psychology.
Applications are invited for the position of Lecturer (British system:
equivalent to an Assistant Professor in N. America) in the Department of
Psychology in the area of cognitive science. The filling of post is
subject to the availability of funds, but it is hoped that an appointment
will be made early in 1994, for a fixed term of 2 to 3 years, which would
be expected to be renewed at the end of this first contract.
Applicants for this post should ideally possess a Ph.D. degree and have
research, teaching and practical experience in cognitive science.
Teaching at the undergraduate and postgraduate levels would be required.
There is currently little teaching of cognitive science at the University
of Hong Kong, and the appointee would be expected to fill this gap, as
well as do research in this area. It is anticipated that a new degree or
postgraduate degree course in Cogntive Science will soon be offered by
the University, and the Department of Psychology will take on a
significant teaching role. Other departments that are likely to be
involved include Computer Science, Philosophy and Education.
The annual salary (non-superannuable, but attracting a 15% (taxable)
terminal gratuity) is on an 11-point scale: HK$377,220 - HK$630,180
(approx. Sterling L32,800 - L54,800; US$48,500 - US$80,800 at December,
1993 exchange rates). Starting salary will depend on qualifications and
experience.
At current rates, salaries tax in Hong Kong will not exceed 15% of gross
income. Children's education allowances in Hong Kong and abroad, leave,
and medical/dental benefits are provided; housing or tenancy allowances
are also provided in most cases at a charge of 7.5% of salary.
Further particulars and application forms may be obtained from the
Appointments Unit, Registry, The University of Hong Kong, Hong Kong (fax
(852) 5592058; email APPTUNIT@HKUVM1.HKU.HK).
Further particulars
- -------------------
Facilities at the University of Hong Kong are very good, with all
lecturers provided with a PC connected via LANs to the
Departmental servers, the University's mainframes (Vax 6420,
IBM9375, IBM4361, DECSystem 5500s, SUN SPARCserver 670), and the
universities' and polytechnics' DECmpp 12000 supercomputer.
There is access, via the LANs, to the Internet, and to computers
and networks abroad. There is external access to this network.
The University of Hong Kong has expanded rapidly over the last
few years, with a current student quota of 8500 undergraduates
and 2500 postgraduates (of which about 1000 are research
postgraduates). Resourcing and facilities for research can be
excellent. The Department of Psychology has several purpose-
built laboratories, for research in psychophysiology, perception,
experimental psychology, and developmental psychology amongst
others.
The standards of the undergraduate students are high, the
University being able to select only those in the top
percentiles. The programmes themselves are of an international
standard, and are vetted by external examiners usually from
abroad, while many courses and programmes are internationally
accredited.
Hong Kong itself is an exciting and vibrant city, being at the
heart of an area which is economically forging ahead of the rest
of the world.
Informal queries can be sent to Dr. John A. Spinks,
Department of Psychology, at: spinks@hkucc.bitnet
------------------------------
Subject: Post-Doctoral Position
From: janth@mond1.ccrc.uga.edu
Date: Tue, 08 Feb 1994 15:27:02 -0500
A Post-Doctoral position at the Complex Carbohydrate Research Center
(CCRC) at the University of Georgia is available immediately.
The work will involve structural characterization of oligosaccharides
through neural-network based pattern recognition of spectra.
Applicants with a strong background in feed-forward neural networks and
associated training methods will be preferred, and experience with
analytical techniques such as NMR , MS, and/or IR spectroscopy would be
an advantage (but not a requirement).
The CCRC operates in a multidisciplinary setting with state-of-the-art
analytical instrumentation and computing facilities, and applicants
would take part in an ongoing effort to develop methods for archival
and (neural-netowrk based) retrieval of analytical spectra. Salary
commnesurate with experience.
Send application letter, c.v., and names and addresses of three
references by March 1 to:
Dr. Jan U. Thomsen
Complex Carbohydrate Research Center
University of Georgia
220 Riverbend Road
Athens, GA 30602
or FAX: (706)-542-4412
or E-mail: janth@mond1.ccrc.uga.edu
- ------- End of Forwarded Message
------------------------------
Subject: Postdoctoral Fellowships
From: bishopc <bishopc@helios.aston.ac.uk>
Date: Fri, 11 Feb 1994 14:59:33 +0000
- -------------------------------------------------------------------
Aston University
Neural Computing Research Group
TWO POSTDOCTORAL RESEARCH FELLOWSHIPS:
--------------------------------------
FUNDAMENTAL RESEARCH IN NEURAL NETWORKS
Two postdoctoral fellowships, each with a duration of 3 years,
will be funded by the U.K. Science and Engineering Research Council,
and are to commence on or after 1 April 1994. These posts are part
of a major project to be undertaken within the Neural Computing
Research Group at Aston, and will involve close collaboration with
Professors Chris Bishop and David Lowe, with additional input from
Professor David Bounds. This interdisciplinary program requires
researchers capable of extending theoretical concepts, and
developing algorithmic and proof-of-principle demonstrations
through software simulation. The two Research Fellows will work
on distinct, though closely related, areas as follows:
1. Generalization in Neural Networks
The usual approach to complexity optimisation and model order
selection in neural networks makes use of computationally intensive
cross-validation techniques. This project will build on recent
developments in the use of Bayesian methods and the description
length formalism to develop systematic techniques for model
optimization in feedforward neural networks from a principled
statistical perspective. In its later stages, the project will
demonstrate the practical utility of the techniques which emerge,
in the context of a wide range of real-world applications.
2. Dynamic Neural Networks
Current embodiments of neural networks, when applied to `dynamic'
events such as time series forecasting, are successful only if
the underlying `generator' of the data is stationary. If the
underlying generator is slowly varying in time then we do not
have a principled basis for designing effective neural network
structures, though ad hoc procedures do exist. This program will
address some of the key issues in this area using techniques
from statistical pattern processing and dynamical systems theory.
In addition, application studies will be conducted which will
focus on time series problems and tracking in non-stationary
noise.
If you wish to be considered for these positions, please send
a CV and publications list, together with the names of 3
referees, to:
Professor Chris M Bishop
Neural Computing Research Group
Aston University
Birmingham B4 7ET, U.K.
Tel: 021 359 3611 ext. 4270
Fax: 021 333 6215
e-mail: c.m.bishop@aston.ac.uk
------------------------------
Subject: Johnson Endowed Chair in In
From: Jay Farrell <Jay_Farrell@qmail.ucr.edu>
Date: 17 Feb 1994 16:02:24
Subject: Time: 3:56 PM
OFFICE MEMO Johnson Endowed Chair in Intelligent Date: 2/17/94
Subject: Johnson Endowed Chair in Intelligent Systems
From: Jay Farrell <j.a.farrell@ieee.org>
Date: Thurs., Feb. 17, 1994
Johnson Endowed Chair in Intelligent Systems
The College of Engineering at the University of California, Riverside is
conducting a worldwide search to attract an outstanding scholar for the
Johnson Endowed Chair in Intelligent Systems. Current research in the
College is in intelligent systems, artificial intelligence, robotics,
visualization, and advance manufacturing. We are searching for candidates
with established international prominence and interested in developing a
strong research focus in the newly-emerged College. Both applications and
nominations are solicited for this position which is to commence at the
start of the 1994-95 academic year.
The candidate for the Chair should have qualifications commensurate with
the academic rank of full professor at the University of California. In
particular, the candidate should possess: #165# Research Ability #209#
demonstrated by major and internationally recognized contributions in the
area of Intelligent Systems; #165# Leadership #209# an interest in
creating and leading an active research group and interacting effectively
with other groups and institutions; #165# Commitment to Teaching #209#
demonstrated by an interest and ability in providing high-quality
instruction.
Please submit a resume, complete list of publications, a written
statement on research and teaching objectives, and names of at least
three individuals willing to write letters of reference by March 31, 1994
to: Chair, Johnson Endowed Chair in Intelligent Systems, College of
Engineering, University of California, Riverside, CA 92521-0425.
Applicants from the United States and abroad are encouraged to apply.
The University of California, Riverside is an Equal Opportunity,
Affirmative Action Employer.
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End of Neuron Digest [Volume 13 Issue 10]
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