$$ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Self-defined math definitions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Math symbol commands \newcommand{\intd}{\,{\rm d}} % Symbol 'd' used in integration, such as 'dx' \newcommand{\diff}{{\rm d}} % Symbol 'd' used in differentiation ... $$
摘要: 1.Bagging方法思路 Bagging独立的、并行的生成多个基本分类器,然后通过投票方式决定分类的类别 Bagging使用了自助法确定每个基本分类器的训练数据集,初始样本集中63.2%的数据会被采样到 从Training Sets中每次取1个,放回,再取1个,放回,重复直到取到n个组成Boot 阅读全文
posted @ 2019-01-21 16:24 V丶vvv 阅读(1396) 评论(0) 推荐(0) 编辑