摘要
该文分析了决策树归纳学习在进行多模式类学习时存在的问题,并针对此问题提出了一种用多决策树进行逻辑合成的方法。UCI数据的实验结果和实际应用都表明,用多决策树进行模式递增学习的方法可以有效地提高识别系统的判决精度。
The problem of decision-tree-method for multiple classes is put forward in this paper.To solve this problem,a method of logistically combining multiple decision trees is proposed.Experiments on UCI datasets and trials in real applications show that the proposed method can improve the accuracy of recognition effectively.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第3期93-94,109,共3页
Computer Engineering and Applications
