摘要
纠错输出编码能有效地将多类问题转化为二类问题进行求解,已受到国内外从事机器学习的研究者们的重视,并使其成为多类分类领域的研究热点.本文首先分析了ECOC多类分类的原理和框架,指出解决ECOC多类分类问题的关键在于解码策略和编码策略的确定;然后从这两个关键点出发综述了ECOC多类分类的最新进展和应用领域;最后指出了目前存在的问题以及下一步研究方向.论文研究成果将为基于ECOC多类分类方法在实际应用过程中起借鉴和参考作用.
Multi-classification has been one of the research hotspot in pattern recognition ,and there are many solutions to it . As a common way to model multi-classification to design a set of binary classifiers and fuse them ,Error-correcting output codes （E-COC） represents a successful framework to deal with this type of problems and is attracting more and more attention of researchers . In this paper ,the framework of ECOC is concluded at first .Then the two keys of multi-classification based on ECOC ,i .e .,the cod-ing strategies and decoding strategies are proposed .The main part focuses on the research of the two keys and the application of E-COC .Finally ,the still existing problems of ECOC are pointed out and the promising research fields are given .The analysis of the paper will provide reference and advice in the practical application of multi-classification based on ECOC .
出处
《电子学报》
EI
CAS
CSCD
北大核心
2014年第9期1794-1800,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.61273275
No.60975026)
关键词
多类分类
纠错输出编码
机器学习
multi-classification
error-correcting output codes
machine learning
