Algorithm Simulations of Regression Learning

摘要：

　　By explicit expressions for least square situations and coefficient regularization with l2 norm,algorithm simulations correspond to these two algorithms are exploited.As a result, the goodness of fitting curves for the two learning algorithms is directly perceived through the image.

关键词： learning theory learning rate reproducing kernel Hilbert spaces regression learning

作者: LIU Xuepu

作者单位: School of Management,University of Jinan,Jinan,Shandong,P.R.China,250002

会议类型: 国际会议

会议名称: The 7th International Institute of Statistics & Management Engineering Symposium(IISMES2015) (第七届国际统计与管理工程学术研讨会)

会议地点: 山东 日照

会议语种:英文

页码: 794-806

在线出版日期: 2015-08-17（万方平台首次上网日期，不代表论文的发表时间）