STRUCTURAL RISK MINIMIZATION PRINCIPLE ON CREDIBILITY SPACE

摘要：

In this paper, the idea of the structural risk minimization (SRM) on credibility space is presented; two theorems are proven to answer two questions: Is the Structural risk minimization principle consistent on credibility space? (Does the risk for the functions chosen according to this principle converge to the smallest possible risk for the set S with increasing amount of observations?) What is the bound on the (asymptotic) rate of convergence?

关键词： Credibility measure the structural risk minimization principle the bounds on the rate of uniform convergence

作者: YUN-CHAO BAI MING-HU HA JUN-HUA LI

作者单位: College of Economics Science, Hebei University, Baoding 071002, China Machine Learning Center, College of Mathematics and Computer Science, Hebei University, Baoding 0710

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3643-3649

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）