Path: utzoo!attcan!uunet!cs.utexas.edu!swrinde!zaphod.mps.ohio-state.edu!rpi!dali.cs.montana.edu!ogicse!emory!hubcap!ncrcae!usceast!mgv
From: mgv@usceast.UUCP (Marco Valtorta)
Newsgroups: comp.ai.neural-nets
Subject: Re: Neuron Digest V6 #40
Message-ID: <3289@usceast.UUCP>
Date: 14 Jun 90 17:07:25 GMT
References: <254.645311724@hplpm.hpl.hp.com> <3142@td2cad.intel.com>
Organization: University of South Carolina, Columbia
Lines: 39

In article <3142@td2cad.intel.com> dsikka@aries.intel.com (Digvijay Sikka) writes:
>Hi Folks:
>	Several months ago there was a posting on the net regarding a
>paper that attempted to study relationships between Bayesian
>(Probabilistic) Networks, and Neural Networks. Since I am interested in
>such a study, I would appreciate if someone out there can either repost
>it or send it me via e-mail. In case if it is not available, I would 
>appreciate any pointers in this regard.

I have some comments on that in a paper in the Proceedings of the Seventh
International Conference on Machine Learning.  The Proceedings are to
be published by Morgan Kaufmann.  The conference will take place next week.
If you are going there, look out for me!  Apart from presenting the paper,
I am organizing a discussion group on knowledge base refinement.

I have a couple of other papers that address the topic you are interested
in.  One is going to be published by the *International Journal of
Approximate Reasoning*, probably in January 1991.  The other is
somewhere (:-)) in the submission/revision process.

From the algorithmic standpoint, there are many similarities between
knowledge base refinement and neural network training.  My dissertation
was on the topic of knowledge base refinement.  At the time I started
that work, neural networks were a dead field.  Now, the balance of interest
has shifted in the opposite direction!
>
>Thanx,
>
>Digvijay.

You are welcome!


Marco Valtorta			usenet: ...!ncrcae!usceast!mgv
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