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Joint learning of error-correcting output codes and dichotomizers from data

文献类型：期刊论文

作者Zhong, Guoqiang; Huang, Kaizhu; Liu, Cheng-Lin
刊名NEURAL COMPUTING & APPLICATIONS
出版日期2012-06-01
卷号21期号:4页码:715-724
关键词Error correcting output codes (ECOC) Dichotomizer Concave-convex procedure (CCCP)
英文摘要The ECOC technique is a powerful tool to learn and combine multiple binary learners for multi-class classification. It generally involves three steps: coding, dichotomizers learning, and decoding. In previous ECOC methods, the coding step and the dichotomizers learning step are usually performed independently. This simplifies the learning problem but may lead to unsatisfactory decoding results. To solve this problem, we propose a novel model for learning the ECOC matrix and dichotomizers jointly from data. We formulate the model as a nonlinear programming problem and develop an efficient alternating minimization algorithm to solve it. Specifically, for fixed ECOC matrix, our model is decomposed into a group of mutually independent quadratic programming problems; while for fixed dichotomizers, it is a difference of convex functions problem and can be easily solved using the concave--convex procedure algorithm. Our experimental results on ten data sets from the UCI machine learning repository demonstrated the advantage of our model over state-of-the-art ECOC methods.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]CLASSIFICATION ; DESIGN
收录类别SCI
语种英语
WOS记录号WOS:000304160200011
公开日期2015-09-22
源URL[http://ir.ia.ac.cn/handle/173211/7994]  
专题自动化研究所_模式识别国家重点实验室_模式分析与学习团队
作者单位Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhong, Guoqiang,Huang, Kaizhu,Liu, Cheng-Lin. Joint learning of error-correcting output codes and dichotomizers from data[J]. NEURAL COMPUTING & APPLICATIONS,2012,21(4):715-724.
APA Zhong, Guoqiang,Huang, Kaizhu,&Liu, Cheng-Lin.(2012).Joint learning of error-correcting output codes and dichotomizers from data.NEURAL COMPUTING & APPLICATIONS,21(4),715-724.
MLA Zhong, Guoqiang,et al."Joint learning of error-correcting output codes and dichotomizers from data".NEURAL COMPUTING & APPLICATIONS 21.4(2012):715-724.

入库方式： OAI收割

来源：自动化研究所

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