Newsgroups: comp.ai.neural-nets
Path: cantaloupe.srv.cs.cmu.edu!das-news2.harvard.edu!news2.near.net!howland.reston.ans.net!news.sprintlink.net!redstone.interpath.net!sas!mozart.unx.sas.com!saswss
From: saswss@hotellng.unx.sas.com (Warren Sarle)
Subject: Re: NN Vs Stats......
Originator: saswss@hotellng.unx.sas.com
Sender: news@unx.sas.com (Noter of Newsworthy Events)
Message-ID: <D3DtMt.4H3@unx.sas.com>
Date: Thu, 2 Feb 1995 16:54:28 GMT
References: <1995Jan11.145719.1@ulkyvx.louisville.edu> <3f9r6i$imn@newsbf02.news.aol.com> <3fa1j6$1kf@usenet.INS.CWRU.Edu> <3frq6t$6fc@maui.cs.ucla.edu> <3gaahk$q1m@usenet.INS.CWRU.Edu> <3gb54t$3sd@vixen.cso.uiuc.edu> <D3CDAC.E1u@unx.sas.com>
Nntp-Posting-Host: hotellng.unx.sas.com
Organization: SAS Institute Inc.
Lines: 23


In article <GEORGIOU.95Feb1164522@wiley.csusb.edu>, georgiou@wiley.csusb.edu (George M. Georgiou) writes:
|> WS> I am not familiar with any treatment of reinforcement learning in the
|> WS> statistical literature. Is anybody else? Any references?
|>
|> How about the perceptron algorithm.  The problem, of course, can be
|> cast and solved as a linear programming problem. But is there anything
|> analogous in statistics?

If this is a response to my question about reinforcement learning, I
don't understand what the perceptron algorithm has to do with it.

If this is an unrelated question about whether the original perceptron
has an analog in statistics, then yes, a perceptron is a linear
discriminant function, and the two most common training methods are
logistic regression and the analytic solution assuming multivariate
normal classes with equal covariance matrices.

-- 

Warren S. Sarle       SAS Institute Inc.   The opinions expressed here
saswss@unx.sas.com    SAS Campus Drive     are mine and not necessarily
(919) 677-8000        Cary, NC 27513, USA  those of SAS Institute.
