DocumentCode
911077
Title
An upper bound estimate on classification error (Corresp.)
Author
Heydorn, R.
Volume
14
Issue
5
fYear
1968
fDate
9/1/1968 12:00:00 AM
Firstpage
783
Lastpage
784
Abstract
An upper bound estimate on the Bayes misclassification error is derived using a kernel function to estimate probability density functions. As a result of this bound, a relationship between a Euclidean distance and a probability of misclassification is indicated.
Keywords
Bayes procedures; Pattern classification; Density functional theory; Euclidean distance; Extraterrestrial measurements; Kernel; Mathematical model; Measurement units; Probability; Random variables; Sufficient conditions; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1968.1054198
Filename
1054198
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