Attribute Selection Method based on Minimum Description Length(MDL) and Genetic Algorithm 基于最小描述长度(MDL)和遗传算法的属性选择方法
Based on Minimum Description Length(MDL) ( MDL ) principle and maximum likelihood, a method for estimation of joint source-number detection and DOA is proposed in this paper. 基于最小描述长度(MDL)(MDL)准则和最大似然准则,提出了一种窄带信号源数目与波达方向(DOA)联合估计方法。
Minimum Description Length(MDL) ( MDL ) principle is used to calculate the weights of the unequal-length candidate sequences based on the motif patterns selected. 针对现有主旨模式挖掘算法易受噪声干扰的问题,提出一种基于最长公共子序列距离的挖掘算法。
Based on the theory of Minimum Description Length(MDL), this problem is put forward a solution. 本文基于最小描述长度(MDL)的理论,对如何自动选取可调参数的取值提出了一个解决方案。
A pruning algorithm based on the principle of Minimum Description Length(MDL) is applied in the tree-pruning phase. 在树的修剪阶段,采用了一种基于最小描述长度(MDL)原理的修剪算法。