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- W2952827979 abstract "摘要: 基于信息论度量而系统性地研究了拒识分类中客观评价问题. 定义了客观评价度量为一类无自由参数描述的函数. 该定义是为了从技术上可以简单地判别度量或评价在“客观性”或“主观性”中的归属. 建议了应用并考察24个信息度量. 它们分别来自于互信息、散度、交叉熵的定义. 不同于传统的性能类度量是基于经验公式或用户直觉上的定义, 信息类度量是构建在更为普适的理论基础上. 该类度量可以对二值分类中的“误差类别”与“拒识类别”进行区分, 而不需求人们输入代价信息. 针对拒识分类评价中更为关注的需求, 提出了三个“元度量(meta-measure)”用于考察度量. 由此用户可以在更高知识层面上测评度量的各自优缺点. 应用数值实例比较了24个信息度量. 对其中最优的信息度量进行了在“误差”与“拒识”代价性质方面的解析分析. 关键词: 拒识分类 / 误差类别 / 拒识类别 / 熵 / 相似性 / 客观性" @default.
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- W2952827979 date "2012-01-01" @default.
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- W2952827979 title "Information-theoretic Measures for Objective Evaluation of Classifications" @default.
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