Using consensus ensembles to identify suspect data

被引：0
|
作者：
Clark, D [1 ]
机构：
[1] Univ Canberra, Sch Informat Sci & Engn, Canberra, ACT 2601, Australia
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS | 2004年 / 3214卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In a consensus ensemble all members must agree before they classify a data point. But even when they all agree some data is still misclassified. In this paper we took closely at consistently misclassified data to investigate whether some of it may be outliers or may have been mislabelled.
引用
收藏
页码：483 / 490
页数：8
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