摘要
统计决策理论是处理模式识别问题的基本理论之一,而贝叶斯决策理论方法又是统计模式识别中的一个基本方法,在面对大量的数据时,它可以有效地进行分析,并生成相应的分类器,对于数据的分类识别有着重大的意义。
The statistical Decision-making Theory is one of the basic theories for treating the problem of pattern recognition, and method of Bayesian Decision-making Theory is a basic method in pattern recognition, facing the massive data, which can be used to make effective analysis and produce corresponding sorters, and possesses important significance for the classification and recognition of the data.
出处
《科技情报开发与经济》
2007年第7期165-166,共2页
Sci-Tech Information Development & Economy
关键词
贝叶斯理论
模式识别
统计决策
Bayesian theory
pattern recognition
statistical decision