HDTenEightyP/NetNews huggingface dataset:
From: laws@ai.sri.com (Kenneth I. Laws)
Newsgroups: comp.ai.neural-nets
Subject: Re: Kahaner Report: Facial classification by neural nets
Date: 11 Jan 93 05:11:59 GMT
Followup-To: comp.ai.neural-nets
Organization: Computists International
In-reply-to: 01jmbrown@leo.bsuvc.bsu.edu's message of 6 Jan 93 18:50:12 GMT

Someone may already have mentioned this ...

Before I can get excited about the gender-recognition announcement,
I have to know a bit more about how the images were obtained or
normalized.  In the worst case, suppose that the training and
test images were digitized from two class photographs -- a men's
class and a women's class.  It might then be trivial to distinguish
them on the basis of mean gray level.  The problem becomes easier
as the resolution approaches one pixel per face.

					-- Ken

--

Dr. Kenneth I. Laws; (415) 493-7390; laws@ai.sri.com.
Ask about my AI/IS/CS newsletter, The Computists' Communique.
Newsgroups: comp.ai.neural-nets
From: ens@cs.sfu.ca (John Ens)
Subject: Fuzzy logic
Organization: CSS, Simon Fraser University, Burnaby, B.C., Canada
Date: Tue, 5 Jan 1993 22:11:30 GMT

I thought this would be a FAQ, but I couldn't find the answer
in the monthly FAQ posting, so here goes...

Can someone point me to tutorial information (references or ftp
files) explaining fuzzy logic?

Thanks in advance.
John Ens
ens@cs.sfu.ca

Xref: sparky comp.ai.neural-nets:4790 soc.college.grad:2286
From: a_rosati@guvax.acc.georgetown.edu
Newsgroups: comp.ai.neural-nets,soc.college.grad
Subject: <None>
Date: 11 Jan 93 10:39:14 -0500
Distribution: world
Organization: Georgetown University

Georgetown U's Physics Department is doing extensive research, funded in toto 
by the Lincoln Labs of MIT, on neural nets. Contact Dr. Ed Finn, Department 
Chair and Project Leader.

11-JAN-1993 09:41:09.90
*-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-*
| Anthony V. Rosati              |                                |
| Department of Chemistry,       | "A nation that cannot think,   |
| Georgetown University          |  cannot survive."              |
| Washington, D.C. 20057-2222    |                                |
| A_ROSATI@GUVAX.BITNET          |          - Norman Mailer, 1992 |
| A_ROSATI@GUVAX.GEORGETOWN.EDU  |            National Press Club |
# ======== # ======== # ======== # ======== # ======== # ======== #
| Southeastern Regional Coordinator & Member, Board of Directors  |
| National Association of Graduate-Professional Students (NAGPS)  |
| 1992 - 1993                                                     |
*-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-*


Newsgroups: comp.ai.neural-nets
From: dbrown@newssun.med.miami.edu (Daniel Brown)
Subject: Re: Richard Granger's olfactory cortex simulation
Organization: University of Miami, School Of Medicine
Date: Mon, 11 Jan 1993 15:10:54 GMT

In article <1io28uINNhof@meaddata.meaddata.com> timh@meaddata.com (Tim Humphrey) writes:
>Richard Granger working with Gary Lynch at the University of California at
>Irvine have developed simulations of the olfactory cortex.  Does anyone
>know if there is a public domain version of this, or know of any technical
>papers that describe their work.

I don't know about ftp sites, but there's an article in 

	_Neuroscience and Connectionist Theory_ (Chap 3), ed Gluck
	and Rumelhart (1991)

Their work is more fully described in a feature article in 
_The Journal of Cognitive Neuroscience_, but I forget the exact
dates (it is definitely 1991 ot 1992, though).  I just read
both.  The one in JCN is more technical and is excellent.

Dan
From: Martin Dwomoh - Tweneboah
Newsgroups: comp.ai.neural-nets
Subject: Neural Network and Databases
Keywords: Databases and information retrieval
Date: 9 Jan 93 13:54:05 GMT
Reply-To: martind@ifi.unit.no
Organization: University of Trondheim

Hi There!
I am a student at the Department of Computer Science,University of Trondheim
;Norway. I am about to start my  thesis for my Masters Degree. I intend to work
in the area of NEURAL NETWORKS. To be specific, I intend to work on Application
of Neural Networks in Databases and Information retrieval.

I would be grateful if you, out there will be of help as with regards to
sources Bibliographies,Books,etc.,etc.,
as well as exchange of ideas in this area of study.

Thanks in advance.   

Martin

***************************************************

REPLY TO : matind@ifi.unit.no

***************************************************
From: msharma@yorktown.rutgers.edu (Manish Sharma)
Newsgroups: comp.ai.neural-nets
Subject: RBF software
Keywords: radial basis functions, c code
Date: 11 Jan 93 22:33:26 GMT
Organization: Rutgers Univ., New Brunswick, N.J.


hi netters,

i am looking for a public domain code implementing RBF neural
networks.

any relevant information will be greatly appreciated.

thanks,

manish sharma
msharma@caip.rutgers.edu
From: kavuri@lips1.ecn.purdue.edu (Surya N Kavuri )
Newsgroups: comp.ai.neural-nets
Subject: A training problem
Date: 12 Jan 93 00:58:43 GMT
Organization: Purdue University Engineering Computer Network


   Here I have a rpoblem with one input and 3 outputs.
   There are twenty training patterns.

   Input patterns are:

 0.47500000000000
   0.42500000000000
   0.37500000000000
   0.32500000000000
   0.27500000000000
   0.22500000000000
   0.17500000000000
   0.12500000000000
   0.07500000000000
   0.02500000000000
  -0.02500000000000
  -0.07500000000000
  -0.12500000000000
  -0.17500000000000
  -0.22500000000000
  -0.27500000000000
  -0.32500000000000
  -0.37500000000000
  -0.42500000000000
  -0.47500000000000

 Output patterns are:

 5.22497730616910  -0.27581710755783  -0.47309647675852
   4.65416529622998  -0.18871696832904  -0.32369758936110
   4.08682235275143  -0.11129462234789  -0.19089857834116
   3.52294847573346  -0.04355006961439  -0.07469944369871
   2.96254366517605   0.01451668987146   0.02489981456624
   2.40560792107921   0.06290565610968   0.10789919645370
   1.85214124344295   0.10161682910025   0.17429870196367
   1.30214363226725   0.13065020884318   0.22409833109614
   0.75561508755213   0.15000579533847   0.25729808385113
   0.21255560929758   0.15968358858611   0.27389796022862
  -0.32703480249641   0.15968358858611   0.27389796022862
  -0.86315614782982   0.15000579533847   0.25729808385113
  -1.39580842670266   0.13065020884318   0.22409833109614
  -1.92499163911493   0.10161682910025   0.17429870196367
  -2.45070578506663   0.06290565610968   0.10789919645370
  -2.97295086455776   0.01451668987146   0.02489981456624
  -3.49172687758832  -0.04355006961439  -0.07469944369871
  -4.00703382415831  -0.11129462234789  -0.19089857834116
  -4.51887170426773  -0.18871696832904  -0.32369758936110
  -5.02724051791657  -0.27581710755783  -0.47309647675852

The data is so set up that input is orthogonal to outputs 2 and 3
 so that a linear method will not be able to fit this.
 Can you develop a network that will fit this ?

 How reliable are the weights connecting to these outputs ?
 (ie., if I use different subsets of inputs, can I expect 
   small fluctuations ?) 


Surya Kavuri
From: Daniel.K.R.McCormack@cm.cf.ac.uk (Daniel K R McCormack)
Newsgroups: comp.ai.neural-nets
Subject: on line update using PlaNet
Date: 12 Jan 93 17:13:23 GMT
Organization: University of Wales College of Cardiff, Cardiff, Wales, UK.

Hi,

	I hope I'm not being thick but can anyone tell me how
to implement online weight update in PlaNet5.6 . The default setting
is for epoch update and I cannot beleive that online update is
not implemented!

	Many Thanks

		Danny
From: 01jmbrown@leo.bsuvc.bsu.edu
Newsgroups: comp.ai.neural-nets
Subject: Re: Kahaner Report: Facial classification by neural nets
Date: 6 Jan 93 18:50:12 GMT
Followup-To: comp.ai.neural-nets
Organization: Ball State University, Muncie, In - Univ. Computing Svc's

In article <29152@optima.cs.arizona.edu>, uh311ae@sunmanager.lrz-muenchen.de (Henrik Klagges) writes:
> [Followups to comp.ai.neural-nets please.  -- Rick]
> 
> rick@cs.arizona.edu (Rick Schlichting) writes:
> 
>> Prof. S. Tamura at Osaka University Medical School, and Asst. Prof.  H.
>> Kawai ... have demonstrated that the back propagation neural network can
>> identify with high accuracy the sex of persons from their faces.
> 
> That is a significant claim.
>  
>> The test indicated that people have an identifying ability poorer than
>> the neural network [sic].  How the neural network differentiates between
>> the sexes has to be elucidated.  The neural network may extract facial
>> features that people cannot detect.
> 
> The fact that a vanilla bp performs better than humans on a complex task 
> at which humans normally excel makes it probable that the nn's success is 
> based on 'artefact' information. Such artefacts could be easily intro-
> duced into the training set by e.g. taking the photos of the men & women
> in separate sessions with e.g. different background lighting. A very 
> simple averaging calculation could then be performed by the nn to 
> distinguish between 'male' (== background A) & 'female' (== background B).
>  
>> ... it answered 93% correctly even for given
>> 8x8-array mosaic images, which were not recognizable as human faces to
>> people.
> 
> That is a picture considerably smaller than a workstation icon, and the 
> latter already require lots of clever pixel editing to resemble something
> like a mailbox (even if graylevels are allowed). I find it hard to believe 
> that the sex of a face can be reliably inferred from a 8x8 picture _at all_.
> This performance claim makes an 'artefact'-based explanation very likely.
> 
> Cheers, henrik@robots.ox.ac.uk
> 
> 
> PS: The Kahaner reports are typically very useful and worth reading, I just
>     had to comment on this one. 
> PPS:If bp really does the job, send me the code - they might give me a PhD
>     for it here :-) !


I've heard before that males have bones in their forehead that distinguish them
readily from females; males have a squarer shape (almost corners about where
the outside edges of the eyes are, whereas the female forehead is rounder.
Assuming this biological notion is true, I could see it _very_ possible to
distinguish males from females, *especially* if the subjects to be viewed were
placed in a somewhat darker room with the light limited to one bright source
from the side, a lighting technique which generally adds contrast to facial
features, making those features much easier for a computer image-scanner to
recognize.

-- Jeff Brown / 01jmbrown@leo.bsuvc.bsu.edu
From: cs89nnj@brunel.ac.uk (Nina Joshi)
Newsgroups: comp.ai.neural-nets
Subject: damsel in distress over back-prop
Date: 7 Jan 93 17:05:53 GMT
Organization: Brunel University, Uxbridge, UK
X-Newsreader: TIN [version 1.1 PL8]

I have tried to understand the back-prop algorithm from several sources, but
find it difficult to comprehend the solution. I recognise the bp algorithm as
being a means to determine the error derivative within a layer in networks,
which can then be used to adjust the weights and hence output the desired
pattern...but I get lost in the algebra...can anyone help?

-- 
***********************************
* Nina Joshi                      * 
* at Brunel University            *  
* doing Applied Computer Systems  *  
*                                 *
* But I don't know why!!          *
From: shaung@cc.usu.edu
Newsgroups: comp.ai.neural-nets
Subject: references for nn as control units
Date: 12 Jan 93 18:48:49 MDT
Organization: Utah State University

  I am interested in any references in the area of neural networks as control
units in artificial biological structures(robots).  Please email replies.

Thanks in advance

Shaun Gregory
email: shaung@cc.usu.edu
From: mrinal@utig.ig.utexas.edu (Mrinal Sen)
Newsgroups: comp.ai.neural-nets
Subject: Mean field theory, Hopfield NN etc.
Date: 12 Jan 93 21:30:02 GMT
Reply-To: mrinal@utig.ig.utexas.edu (Mrinal Sen)
Organization: Institute for Geophysics,UTexas Austin



In a series of papers Peterson and his colleagues mapped optimization problem
into Hopfield NN and derived mean field theory equations for simulated
annealing (Peterson and Soderberg 1989, international journal of neural
systems, 1, 3-22.). They have described applications to travelling
salesman (TSP) and graph partioning problems. However, I have some diffculty
in mapping a general optimization problem into Hopfield network. I will
appreciate if someone could give me some tips on that.

Let us consider the problem of finding global minimum of a multimodal
multidimensional function, say f(x,y,z) where x, y, and z can take discrete
values within prespecified range. I am finding it difficult to map it onto
a Hopfield network i.e to identify the connectivity Tij. It seems that
mapping onto Hopfield network is not a precondition to use the MFT equations.
However, how then should the energy function be defined ?

Please mail your reply preferably to

mrinal@bullen.ig.utexas.edu

- mrinal sen
Institute for Geophysics
University of Texas at Austin
Austin, Tx 78759
(512)834-2782
Newsgroups: comp.ai.neural-nets
From: timm@spectrum.cs.unsw.oz.au (Tim Menzies)
Subject: wanted: 10 good articles
Reply-To: timm@spectrum.cs.unsw.oz.au (Tim Menzies)
Organization: none
Date: Sun, 10 Jan 1993 06:48:01 GMT

i co-ordicate a reading group at my lab. there is some interest in doing
some nn work. what are N articles (N <= 10) that review the field, or
(when they were published) set the field afire?

#include standard-statement-re-post-summary

ADVthankANCE


--
 ,-_|\     Tim Menzies (timm@cs.unsw.oz.au)        | Small, dark, noisy room
/     \    AI Lab, Computer Science, Uni. NSW      | for rent. Get a haircut/
\_,-._* <- P.O. Box 1, Kensington, Australia, 2033 | job/ a life, then apply.
     v     +61-2-663-4576 (fax) +61-2-697-3940 (w) |  -- ad, Venice Beach, LA
Xref: sparky comp.ai.neural-nets:4707 sci.physics:22131 sci.image.processing:1491 triangle.talks:234
From: corinne@eksignal.kodak.com (Corinne Weirich)
Subject: References on Neural Networks and Image Classification
Originator: corinne@eksignal
Organization: Eastman Kodak
Date: Fri, 8 Jan 93 19:37:43 GMT


I am looking for articles and/or books on using Neural Networks
for Image Classification.  If anyone could provide me with a 
reference list on this subject I would appreciate it.

    Thanks,
	Corinne
	corinne@eksignal.kodak.com
Newsgroups: comp.ai.neural-nets
From: tyvng@cs.sfu.ca (Vincent Ng)
Subject: Using Neural Networks in Epidemiological Researches
Keywords: Epidemiology, Occupational Hazards
Organization: CSS, Simon Fraser University, Burnaby, B.C., Canada
Date: Fri, 8 Jan 1993 03:56:43 GMT

I am interested in applying NN in Epidemiologic and Occupation
studies. Has this been done before ? Is there any references/papers 
people can help me to locate ?

-thanks in advance
 Vincent Ng
Newsgroups: comp.ai.neural-nets
From: stensmo@cyklop.nada.kth.se (Magnus Stensmo)
Subject: Address of Lionel Tarassenko, University of Oxford
Originator: stensmo@cyklop.nada.kth.se
Organization: Royal Institute of Technology, Stockholm, Sweden
Distribution: comp
Date: Wed, 6 Jan 1993 19:45:05 GMT


Hi,

I`m looking for an E-mail and/or ordinary address of LIONEL TARASSENKO
(sp?) at the UNIVERSITY OF OXFORD, ENGLAND. He presented work about
EEG at the NIPS conference in December.

Thank you in advance,

	Magnus Stensmo
	magnus@helmholtz.sdsc.edu
Xref: sparky comp.ai.neural-nets:4785 comp.realtime:1536 comp.theory.dynamic-sys:402 comp.theory.self-org-sys:139 alt.control-theory:17
From: sharkey@robots.ox.ac.uk (Paul Sharkey)
Newsgroups: comp.ai.neural-nets,comp.realtime,comp.theory.dynamic-sys,comp.theory.self-org-sys,alt.control-theory
Subject: Re: Use of hysteresis in control problems
Keywords: artificial neural networks,control
Date: 11 Jan 93 10:10:44 GMT
Distribution: inet
Organization: Robotics Research Group, Engineering Science Dept, Oxford, UK.
Originator: sharkey@oberon.robots

As mentioned in a previous post hysteresis is widely used to prevent 
a bang-bang controller chattering ie. either on full blast or off.

(Simple control stuff follows for those who want to skip)

Hysteresis is also very improtant in simple PID controllers
(proportional, integral + derivative). The integral part of this type
of control integrates the error to drive that error to zero. However
if the error is very large (imAgine a step increase in demand) the
integral action would saturate and therefore have an adverse effect
(called integral windup). To prevent this happening, take a guess.

Paul

-------------------------------------------------------------------
Paul M Sharkey                      Office:  +44 (0)865 273 150   
Reactive Vision Laboratory          Lab:     +44 (0)865 273 168
Robotics Research Group             Fax:     +44 (0)865 273 908
Dept Engineering Science  
Parks Road, Oxford OX1 3PJ          Email:   sharkey@uk.ac.oxford.robots
Newsgroups: comp.ai.neural-nets
From: hadar@boreas.Stanford.EDU (Hadar Avi-Itzhak)
Subject: Can Anyone tell me when and where the next NIPS will be ?
Keywords: NIPS
Organization: DSG, Stanford University, CA 94305, USA
Distribution: usa
Date: Sat, 9 Jan 93 03:17:14 GMT

Can anyone give me the info for the next NIPS ? Thanks in advance.



Newsgroups: comp.ai
From: levy@watson.crim.ca (Michel Levy)
Subject: Looking for article
Keywords: 'Netwwork management' 'Artificial Intelligence'
Reply-To: levy@watson.crim.ca
Organization: Sun Microsystems
Date: Mon, 4 Jan 1993 21:38:41 GMT

I'm trying to find the e-mail of the authors or any information
which could help me to find the following article :

M. Bereschinsky and C. Graff, " A state of te art Assesment in Network Management
Using techniques from Artificial Intelligence", Proceeding of the Symposium on 
Command and Control Research, Monterey, June 7-9, 1988.

Thank you for your time and attention.
Happy new year.

Please responds by e-mail : levy@watson.crim.ca
michel



Newsgroups: comp.ai.fuzzy
From: dicks@math.ohio-state.edu (Ethan Dicks)
Newsgroups: comp.ai.fuzzy
Subject: Re: Somehow, it Seems Appropiate...
Date: 12 Jan 1993 19:28:16 -0500
Organization: Department of Mathematics, The Ohio State University
NNTP-Posting-Host: zaphod.mps.ohio-state.edu

In article <80-3cgm@rpi.edu> petitc@nuge115.its.rpi.edu (Christopher Jon Petit) writes:
>For some reason, I'm NOT encouraged to hear that 'Fuzzy' logic is being
>used to focus pictures in cameras.  :&)

This attitude is why, although the Japanese are snapping up anything with
fuzzy anything, the term and the products incorporating the concept are
not doing too well in the U.S.

-ethan

	
-- 
n8emr!uncle!jcnpc!kumiss!erd@zaphod.mps.ohio-state.edu or erd@kumiss.UUCP
Newsgroups: comp.ai.fuzzy
From: tes@gothamcity.uucp (Thomas E. Smith)
Subject: The basic question...
Organization: NASA/Johnson Space Center
Date: Tue, 12 Jan 1993 19:43:12 GMT


What are the basic principles behind fuzzy logic? 
Gee, how's that for a question :)
I know that it doesn't deal with strictly true, and false, but somewhere
inbetween, hence the name. But how does that get you to where you can start
recognizing signatures and all the other neat things you can do with fuzzy
logic?

-- 
____________________________________________________________________________
| It's not my damn planet, understand  | Tom E. Smith                      |
| Monkey Boy?!!       John Bigbootey   | tes@gothamcity.jsc.nasa.gov       |
----------------------------------------------------------------------------
Newsgroups: comp.ai.fuzzy
From: petitc@nuge115.its.rpi.edu (Christopher Jon Petit)
Subject: Somehow, it Seems Appropiate...
Date: Tue, 12 Jan 1993 21:50:23 GMT

For some reason, I'm NOT encouraged to hear that 'Fuzzy' logic is being
used to focus pictures in cameras.  :&)


-- 
Your Lucky Number is 3.1415926 but must be played between 3 and 3:15 PM on
January 11, 1993.
"The greatest beauty in the world is beauty that is private."
"Protect endangered species!  Contribute to the Exxon Supporter's Fund!"
From: martinc@currituck.cs.unc.edu (Charles R. Martin)
Newsgroups: comp.ai.fuzzy
Subject: Fuzzy grammars
Date: 12 Jan 93 15:10:22
Organization: UNC Department of Computer Science
Distribution: comp
NNTP-Posting-Host: currituck.cs.unc.edu

A long time ago in an AI class, I messed about with fuzzy grammars for
natural language recognition.  I wonder if anyone is aware of anything
of this sort done by anyone else?

--
		Charles R. Martin/(Charlie)/martinc@cs.unc.edu
     Dept. of Computer Science/CB #3175 UNC-CH/Chapel Hill, NC 27599-3175
	    3611 University Dr #13M/Durham, NC 27707/(919) 419 1754
     "Oh God, please help me be civil in tongue, pure in thought, and able
      to resist the temptation to laugh uncontrollably.  Amen." -- Rob T
Newsgroups: comp.ai.fuzzy
From: scotte@eng.auburn.edu (A. Scottedward Hodel)
Subject: Re: Fuzzy Handwriting Recognition
Reply-To: scotte@eng.auburn.edu
Organization: Auburn University Engineering
Date: Tue, 12 Jan 1993 17:19:56 GMT

What information is there in the literature on the analysis of closed-loop fuzzy 
control systems?  I have seen a few articles by Reza Langari; several students here 
have asked me to teach a course involving fuzzy logic/control, and I'd like to have 
a handle on not just how to design a controller (trial and error), but also on how 
to evaluate a controller.

Thanks in advance
---
A. S. Hodel						scotte@eng.auburn.edu
Department of Electrical Engineering, Auburn University, AL 36849

Newsgroups: comp.ai.fuzzy
From: malaviya@borneo.gmd.de (Ashutosh Malaviya - FUZZY)
Subject: Fuzzy Handwriting Recognition 
Reply-To: `whoami`@borneo.gmd.de
Organization: GMD, German National Research Center for Computer Science
Date: Tue, 12 Jan 1993 16:26:28 GMT

	Hi Fuzzy friends,

	Its good to know that the fuzzy newsgroup is finally
	there. I'm working on handwriting recognition with
	fuzzy logic. Just curious to know if someone else is
	also working in this direction. 

	Will fuzzy logic survive without incorporating neural
	networks in absence of expert's knowledge ? Just a
	question to start a discussion.

	thanks in advance

	Ashutosh
 
	<xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
	Ashutosh Malaviya
	German National Research Center for Computer Science
	malaviya@nicobar.gmd.de
	Tel: +49-2241-14-2751
	Fax: +49-2241-14-2342
	<xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Newsgroups: comp.ai.fuzzy
From: memetral@athena.mit.edu (Max E. Metral)
Subject: Early post
Organization: Massachusetts Institute of Technology
Date: Tue, 12 Jan 1993 19:55:20 GMT

Since this is a new group, I figure I can post this w/o getting flamed.

What are some good papers to read to get an intro to fuzzy logic?  I'm very
interested, but don't know where to start.

Right now I'm writing a thesis on autonomous agents which used memory based
learning to predict user reactions to situations.

--==<Max>==--
From: finin@cs.umbc.edu (Timothy Finin)
Newsgroups: comp.ai.fuzzy
Subject: IEEE CAIA-93 Advance Program & Registration Information
Date: 12 Jan 1993 17:12:38 -0500
Organization: Computer Science, University of Maryland Baltimore County
Distribution: world
NNTP-Posting-Host: cujo.cs.umbc.edu
Summary: send email to CAIA@CS.UMBC.EDU for more info on Applied AI Conf.
Keywords: Applied Articial Intelligence

The advance program and registration information for CAIA-93 (the 9th IEEE
Conference on Artificial Intelligence for Applications) is now available.
The conference will be held March 1-5, 1993 at the Disney Yacht Club & Beach
Club Resort Hotel in Orlando, Florida, USA.

To get the advance program and registration information by email, send a
message to CAIA@CS.UMBC.EDU.  For additional information, contact: CAIA'93
Registration, IEEE Computer Society, 1730 Mass. Ave., N.W., Washington, DC
20036-1992 Voice:202-371-1013; Fax:202-728-0884, email:M.KABZA@COMPMAIL.COM.

Newsgroups: comp.ai.fuzzy