节点文献
双重随机样本的结构风险最小化原则
Structural risk minimization principle of birandom samples
【摘要】 提出退火熵、生长函数和VC维等概念,构建基于VC维的学习过程一致收敛速度的界。以这些界为基础,给出基于双重随机样本的结构风险最小化原则。最后证明该原则是一致的并且推导出了关于渐近收敛速度的界。
【Abstract】 Firstly,the concepts of annealed entropy,growth function and VC dimension are proposed and the bounds on the rate of uniform convergence of learning process based on VC dimension are constructed.Secondly,on the basis of these bounds,the idea of the structural risk minimization principle based on birandom samples is presented.Finally,the consistency of this principle is proven and the bound on the asymptotic rate of convergence is derived.
【关键词】 双重随机样本;
退火熵;
生长函数;
VC维;
结构风险最小化原则;
渐近收敛速率的界;
【Key words】 birandom samples; annealed entropy; growth function; VC dimension; structural risk minimization principle; the bound on the asymptotic rate of convergence;
【Key words】 birandom samples; annealed entropy; growth function; VC dimension; structural risk minimization principle; the bound on the asymptotic rate of convergence;
【基金】 国家自然科学基金;教育部科学技术研究重点项目;河北省教育厅科研计划重点项目;河北省自然科学基金资助项目~~
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2009年01期
- 【分类号】TP181
- 【被引频次】7
- 【下载频次】94