加权熵
Based on the theory of rough set, a new Nave Bayes method named Conditional Information Entropy-based Algorithm for Self-learning Nave Bayes ( CIEBASLNB) was proposed, which combined the merits of selective Nave Bayes ( SNB) and Weighted Nave Bayes ( WNB).
根据Rough Set的相关理论,提出了基于条件信息熵的自主式朴素贝叶斯分类方法,该方法结合了选择朴素贝叶斯和加权朴素贝叶斯的优点。
The band width of error entropy donut can be determined by weighted average error entropy of all line segments.
误差熵环的带宽取构成边界线的各线段误差熵的加权平均值。
This thesis aims to explore new ways of image database index technique of content-based image search engine after regional weighted entropy is applied to image feature extraction.
本文将区域加权信息熵应用于图像特征提取,探索基于内容图像搜索引擎图像库索引技术新途径。
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