Path: utzoo!attcan!utgpu!jarvis.csri.toronto.edu!mailrus!uwm.edu!cs.utexas.edu!sun-barr!lll-winken!arisia!kanga!chrisley
From: chrisley@kanga.uucp (Ron Chrisley UNTIL 10/3/88)
Newsgroups: comp.ai.neural-nets
Subject: Re: updating neural nets
Message-ID: <4756@arisia.Xerox.COM>
Date: 9 Dec 89 01:50:45 GMT
References: <1153@gtx.com>
Sender: news@arisia.Xerox.COM
Reply-To: chrisley.pa@xerox.com (Ron Chrisley)
Organization: Xerox Palo Alto Research Center
Lines: 21

From a previous message:

Does anyone know of any work on updating neural nets to account for new
samples without completely retraining them?


  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 ( Alan Filipski, GTX Corp, 8836 N. 23rd Avenue, Phoenix, Arizona 85021, USA )
 ( {decvax,hplabs,uunet!amdahl,nsc}!sun!sunburn!gtx!al         (602)870-1696 )
  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

______________________________________________

Yes.  This was one of the things Geoff Hinton was trying to do with fast and
slow weights.  I think he has a paper "Using Fast and Slow Weights to De-blur
Old Memories" that appeared in the Proceedings of the Cog Sci Society '87.

Is there a better reference for this paper?

Ron Chrisley
chrisley.pa@xerox.com