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单词 cross entropy
释义
cross entropy
  • 简明释义
  • 交叉熵:在信息论和机器学习中,交叉熵是一种用于衡量两个概率分布之间差异的度量。它常用于评估模型的预测结果与真实标签之间的差异。
  • 网络释义
短语
  • 双语例句
  • 1
    The new algorithm is compared with a number of traditional algorithms based on Shannon entropy and minimum cross entropy by applying them to various test images.
    比较了新算法与基于最小交叉熵以及基于传统香农熵的阈值化算法的特点和分割性能。
  • 2
    Finally, evaluation is made from the following aspects: mean, entropy, cross entropy, distortion of the correlation coefficients and the feasibility of the method is verified in this paper.
    最后从均值、信息熵、交叉熵、扭曲程度、相关系数等方面对融合后图像进行了评价,验证了算法的可行性。
  • 3
    Then, starting with the concept of information entropy and analysis about cross method for rare event simulation, this thesis introduces the basic idea of cross entropy optimization method.
    接着从信息熵的概念谈起,通过对小概率事件仿真方法的分析,引出交叉熵优化方法的思想。
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更新时间:2025/2/15 2:17:29