Realization of Network Machine Voting System and Study of Its Safeness 网络机器投票系统实现和安全性研究
This paper introduces some typical machine learning algorithms, and constructs a voting E-mail filter model based on multi-machine learning algorithms. 该文介绍了几种典型机器学习算法,并构造了一种基于多机器学习算法的投票式过滤模型。
With these features, fisher discriminant classifier and support vector machine are imposed to carry on efficient classifier selection and multiple classifiers combination. Then a voting rule is utilized for decision fusion of multiple efficient classifiers. 对于这三种特征,论文利用FISher线性分类器和支持向量机进行多分类器的组合和选择,并对来自不同分类器的判别结果利用投票准则进行决策融合。