Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (20): 45-47.DOI: 10.3778/j.issn.1002-8331.2008.20.013
• 理论研究 • Previous Articles Next Articles
LIU Yang,LIU Yang,HU Shi-cheng
Received:
Revised:
Online:
Published:
Contact:
刘 杨,刘 扬,胡仕成
通讯作者:
Abstract: Support Vector Machine(SVM) is a focus in the area of machine learning,and the key theorem of statistical learning theory provides important basis for SVM.Fuzzy Empirical Risk Minimization(FERM) principle is proposed in the paper.The key theorem of learning theory with fuzzy samples is proposed and proven.And it provides theoretical basis for the research of fuzzy support vector machine.
摘要: 支持向量机是机器学习领域一个研究热点,而统计学习理论中的关键定理为支持向量机的研究提供了重要的理论基础。基于模糊样本,提出了模糊经验风险最小化原则和非平凡一致性的概念,提出并证明了基于模糊样本的学习理论的关键定理,为研究模糊支持向量机提供了依据。
LIU Yang,LIU Yang,HU Shi-cheng. Research of learning problem with fuzzy samples[J]. Computer Engineering and Applications, 2008, 44(20): 45-47.
刘 杨,刘 扬,胡仕成. 模糊样本下学习问题的研究[J]. 计算机工程与应用, 2008, 44(20): 45-47.
0 / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2008.20.013
http://cea.ceaj.org/EN/Y2008/V44/I20/45