摘要
对影响粗糙集学习机器泛化性能的因素进行了分析,通过将结构风险最小化原则引入到粗糙集学习中,提出了粗糙集学习的结构风险最小化方法;通过12个UCI数据集上的实验分析,验证了提出方法的有效性。
The factors influencing the generalization performance of rough set learning machine were analyzed. Through introducing the principle of structural risk minimization into rough set learning process, structural risk minimization on rough set learning was proposed. Experiments on 12 UCI data sets show that the proposed method is effective for improving the generalization performance of rough set learning machine.
出处
《计算机科学》
CSCD
北大核心
2009年第12期210-213,共4页
Computer Science
基金
国家自然科学基金(No.60703013)
中国博士后科学基金(20080440886)资助
关键词
粗糙集
泛化性能
结构风险最小化
Rough sets,Generalization per/ormanee,Structural risk minimization