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1)  confidence measure
置信测度
1.
A dynamic speaker selected training method developed for rapid speaker adaptation improves the basic speaker selected training method by replacing the absolute number selection method used in the basic method with a confidence measure calculated from the Gaussian mixture model likelihood.
基于说话人选择性训练方法,采用基于Gauss混合模型似然分数计算的置信测度选择训练用说话人,改变训练用说话人的绝对数目选取方式,提高了选取的效能并拓展了选取标准的推广性。
2.
This paper proposes an online model adaptation algorithm based on a confidence measure for music segmentation applications.
本文提出了一种基于置信测度的自适应模型适配算法用于音乐分割。
2)  forecast confidence
预测置信度
3)  confidence distance measure
置信距离测度
1.
Based on the concept of confidence distance measure,the confidence distance matrix and relation matrix for multi-odometer data is constructed firstly.
首先基于置信距离测度概念构造了多里程仪测量数据之间的置信距离矩阵和关系矩阵,然后利用有向图方法剔除含有较大误差的或错误的测量数据,最后采用极大似然估计法求解多里程仪测量数据的最优融合值。
4)  Branch prediction confidence
分支预测置信度
5)  classified confidence distance measure
类别置信距离测度
1.
This model revises deviation between apriori distributing and factual distributing of target traits through classified confidence distance measure,which improves reliability of the estimate of target attribute.
该模型利用类别置信距离测度修正目标特征的实测分布与先验分布的偏差,提高传感器目标属性估计的可靠性;利用一致性测度和传感器可靠性,实现传感器信息的筛选,有效的处理冲突信息和错误信息。
6)  embedded confidence edge detection
嵌入置信度的边缘检测
补充资料:单侧置信区间
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性质:只设置在被估参数一侧,左侧或右侧的置信区间。

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