Error prediction for multi-classification

被引：0

作者：

Sun, FS ^{[1
]}

机构：

[1] Ball State Univ, Dept Comp Sci, Muncie, IN 47306 USA

来源：

Sixth International Conference on Software Engineerng, Artificial Intelligence, Networking and Parallel/Distributed Computing and First AICS International Workshop on Self-Assembling Wireless Networks, Proceedings | 2005年

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：

This paper describes all error prediction mechanism for multiclassification systems. First, a multiclassification system is constructed by combining a suite of two-class classifiers. While training, each sub-classifier does not utilize all the training data and the remaining data will be used for testing purpose. Thus, the classification system call predict its own performance after training. We have tested this mechanism on several well-known benchmark datasets. Experimental results are demonstrated for its effectiveness.

引用

页码：140 / 143

页数：4

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