Generating classifier outputs of fixed accuracy and diversity

被引：26

作者：

Kuncheva, LI ^{[1
]}

Kountchev, RK ^{[1
]}

机构：

[1] Univ Wales, Sch Informat, Bangor LL57 1UT, Gwynedd, Wales

来源：

PATTERN RECOGNITION LETTERS | 2002年 / 23卷 / 05期

关键词：

multiple classifier systems; ensemble diversity; dependency; Q statistic; output generating algorithm;

D O I：

10.1016/S0167-8655(01)00155-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We offer an algorithm for random generation of classifier outputs with specified individual accuracies and pairwise dependencies. The outputs are binary vectors (correct/incorrect classification) for a hypothetical data set. The generated team output can be used to study the majority vote over multiple dependent classifiers. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：593 / 600

页数：8

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