Newsgroups: comp.ai.neural-nets
Path: cantaloupe.srv.cs.cmu.edu!das-news2.harvard.edu!news2.near.net!news.mathworks.com!news.duke.edu!news-feed-1.peachnet.edu!concert!sas!mozart.unx.sas.com!saswss
From: saswss@hotellng.unx.sas.com (Warren Sarle)
Subject: Re: He who knows what he does not know is wise
Originator: saswss@hotellng.unx.sas.com
Sender: news@unx.sas.com (Noter of Newsworthy Events)
Message-ID: <Cyz0MF.Jx3@unx.sas.com>
Date: Tue, 8 Nov 1994 22:47:03 GMT
References:  <parkCyxFB0.5Ko@netcom.com>
Nntp-Posting-Host: hotellng.unx.sas.com
Organization: SAS Institute Inc.
Lines: 18


In article <parkCyxFB0.5Ko@netcom.com>, park@netcom.com (Bill Park) writes:
|> What are some good ways to get a neural network to report that the inputs
|> you gave it are too different from its training set to permit it to
|> give you an accurate answer?

An interesting question. You might look at the k-nearest-neighbor
distance or some other measure related to a nonparametric density
estimate. Or if you need something faster, you can cluster the
training data and look at the distance to the nearest cluster.
The problems remain of deciding how many neighbors or how many
clusters, and how far is too far?

-- 

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.
