Classifier ensembles for changing environments

被引：0

作者：

Kuncheva, LI ^{[1
]}

机构：

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

来源：

MULTIPLE CLASSIFIER SYSTEMS, PROCEEDINGS | 2004年 / 3077卷

关键词：

classifier ensembles; online ensembles; incremental learning; non-stationary environments; concept drift;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We consider strategies for building classifier ensembles for non-stationary environments where the classification task changes during the operation of the ensemble. Individual classifier models capable of online learning are reviewed. The concept of "forgetting" is discussed. Online ensembles and strategies suitable for changing environments are summarized.

引用

页码：1 / 15

页数：15

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