Classification by Clusters Analysis - An Ensemble Technique in a Semi-Supervised Classification

被引：2

作者：

Jurek, Anna ^{[1
]}

Bi, Yaxin ^{[1
]}

Wu, Shengli ^{[1
]}

Nugent, Chris ^{[1
]}

机构：

[1] Univ Ulster, Sch Comp & Math, Newtownabbey BT37 0QB, Co Antrim, North Ireland

来源：

2011 23RD IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2011) | 2011年

关键词：

semi-supervised learning; combining classifiers; meta learning; clustering; classifier ensemble;

D O I：

10.1109/ICTAI.2011.137

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work we adopt a previously introduced meta-learning classification method for semi-supervised learning problems. In our previous work we illustrated that the method is successful when applied in a supervised classification problem. In our current work the results demonstrate that following refinements made to the method it can be successfully applied to semi-supervised classification cases.

引用

页码：876 / 878

页数：3

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