浙江大学学报（理学版）2012，Vol.39Issue(2)：146-151,6.DOI:10.3785/j.issn.1008-9497.2012.02.005
系数正则化回归模型的最优正则参数
On the optimized parameters of coefficient regularized regressions
摘要
Abstract
This paper focuses on the error analysis of coefficient regularized algorithm associated with least-square loss function. By estimating the sample error and the approximation error respectively, a bound with respect to the parameter y is presented and the bound has a minimizer when choosing an appropriate parameter. Meanwhile, learning rates are derived.关键词
回归函数/系数正则化回归/覆盖数/再生核Hilbert空间/Hoeffding不等式Key words
regression function/ coefficient regularized regression/ covering number/ reproducing kernel Hilbert space/ Hoeffding's inequality分类
数理科学引用本文复制引用
冯李哲,盛宝怀..系数正则化回归模型的最优正则参数[J].浙江大学学报（理学版）,2012,39(2):146-151,6.基金项目
国家自然科学基金资助项目(10871226). （10871226）
