Error-dependency relationships for the Naive Bayes classifier with binary features

被引：4

作者：

Kuncheva, Ludmila I. ^{[1
]}

Hoare, Zoe S. J. ^{[2
]}

机构：

[1] Bangor Univ, Sch Comp Sci, Bangor LL57 1UT, Gwynedd, Wales

[2] KSS Ltd, Manchester M1 6SS, Lancs, England

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2008年 / 30卷 / 04期

关键词：

pattern recognition; Naive Bayes classifier; dependency between features; classification error; Q statistic;

D O I：

10.1109/TPAMI.2007.70845

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We derive a tight dependency-related bound on the difference between the NB error and Bayes error for the case of two binary features and two classes. A measure of feature dependency is proposed for multiple features. Simulations and experiments with 23 real data sets were carried out.

引用

页码：735 / 740

页数：6

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