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AIList Digest Volume 8 Issue 074
AIList Digest Thursday, 1 Sep 1988 Volume 8 : Issue 74
Queries:
MicroExplorer Vs. MacIvory Poll
WANTED: speech data
Prolog, etc.
Responses:
Prolog, etc.
Where should she go?
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Date: 30 Aug 88 23:04:28 GMT
From: sm.unisys.com!csun!polyslo!mshapiro@oberon.usc.edu (Mitch
Shapiro)
Subject: MicroExplorer Vs. MacIvory Poll
Hi, folks....
While I was at AAAI last week, the big showdown finally occurred.
That is to say, that Symbolics finally brought out the MacIvory
to compete against the Texas Instruments MicroExplorer.
I'm looking to get a good opinion survey of these two machines.
I'll be glad to post a summary should there be sufficient interest.
Thanks for any/all words/opinions.
[Mitch]
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Date: 30 Aug 88 15:27:30 GMT
From: sunybcs!bandu@rutgers.edu (Jagath SamaraBandu)
Subject: WANTED: speech data
Could somebody please mail me some speech data which I need for testing
purposes? It will be really helpful if the text (spoken) is also included.
Thanks in advance
Jagath samarabandu
email - bandu@cs.buffalo.edu v092r8c2@ubvms.bitnet
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
Jagath K. Samarabandu (716)-835-4639 | bandu@cs.buffalo.edu
518, Lasalle Ave.,Buffalo,NY14215 | v092r8c2@ubvms.bitnet
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
------------------------------
Date: 31 Aug 88 13:41:33 GMT
From: uflorida!fish.cis.ufl.edu!fishwick@gatech.edu (Paul Fishwick)
Subject: Prolog, etc.
Does anyone know of a PD version of Prolog that will run under UNIX.
It must come with source since we would like to able to use it on
any UNIX machine (including Gould, SUN, VAX, etc.)? We currently have
XLISP and I would very much like to augment this with a PROLOG for
my AI students. If it can be FTP'd, so much the better! Thanks for
responding...
Also, we would be interested in any functional languages (like ML) that
are easily available on the net.
-paul fishwick
fishwick@bikini.cis.ufl.edu
--
+------------------------------------------------------------------------+
| Paul A. Fishwick.......... INTERNET: fishwick@uflorida.cis.ufl.edu |
| Dept. of Computer Science. UUCP: {gatech|ihnp4}!codas!uflorida!fishwick|
| Univ. of Florida.......... PHONE: (904)-335-8036 |
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Date: 31 Aug 88 16:34:22 GMT
From: att!mtune!mtund!newton@bloom-beacon.mit.edu (Newton Lee)
Subject: Re: Prolog, etc.
In a previous article, Paul Fishwick writes:
> Does anyone know of a PD version of Prolog that will run under UNIX.
> It must come with source since we would like to able to use it on
> any UNIX machine (including Gould, SUN, VAX, etc.)? We currently have
We use C-Prolog on our UNIX machines (VAX, MIPS, 3B20, UNIX PC, etc.)
It is based on the Prolog system written in IMP by Luis Damas (and
Lawrence Byrd) for the ICL 2900 computers. For more info, contact
Fernando Pereira, EdCAAD, Dept. of Architecture, University of Edinburgh.
Newton Lee
AT&T Bell Laboratories
------------------------------
Date: 30 Aug 88 10:25:00 EDT
From: Nahum (N.) Goldmann <ACOUST%BNR.CA@MITVMA.MIT.EDU>
Subject: Where should she go?
Peter Webb writes (AILIst, v8, #60)
> A friend of mine wants to get her PhD in Computer Science,
> specializing in the Machine Learning aspect of Artificial Intelligence.
> She has been to the library and collected a list of likely schools, but
> the list is too long for her to apply to all the schools on it.
> Accordingly, she asked me if I would ask the net for suggestions. If
> you wanted to study machine learning, where would you go and why?
I believe that the procedure of evaluating a SCHOOL is only suitable
when the undergraduate education is being considered. For a graduate
student, especially a PhD candidate, the first step to prove his or her
scientific maturity is to identify the area of his/her OWN interest.
Myself, I am expecting a PhD student to come with a reasonable
degree of aggression and violence to prove that:
a) I don't understand anything in my own area of expertise;
b) It really does not matter, since my area is doomed in any case;
c) The applicant has a marvellous idea which will save both me and
the mankind (the humankind?) from the absolete approach (not that it
will happen at the end of the exersize, but it is a different story).
Would anything less do?
On a practical note, I'd advise her to do the following:
1) Find a couple of good reviews in the library which deal with the
subject (machine learning?).
2) Loosely identify 2-3 sub-areas of interest.
3) Find fresh publications in these areas. Based on them, define
which circle of problems/methods really appeal to her. Just intuition
will do.
4) Based on the same publications identify major players in these
areas whose works sound exciting.
5) Contact these INDIVIDUALS and ask their advice (who is the best
PERSON to do YOUR research with). You'll be surprised how much more
informative their responses will be than what you will get
"at random". Yes, they may not speak about
dormitories and the "perceived importance" of the college, but does it
really matter where a good researcher is located? What if it is in
Australia, Japan, or the UK? For a PhD student it should not be a
major obstacle.
6) Come to the person selected and convince him/her that without you
(see a-c above...). Propose a couple of research subjects. At the
end, settle for the subject HE gives to you). It is less likely that
she'll have a major dissapointment at the end of this long exersize.
Sorry for the basic staff. It's just that I've seen so many PhD's who
would be far happier if they were insurance agents... If only
someone would explain the basic facts of scientific life to them
beforehand...
Good luck to your friend (at least she asked the question)!
Greetings and love
Nahum Goldmann
(613)763-2329
e-mail <acoust@bnr>
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End of AIList Digest
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