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1)  belief distribution funtion
可信度分布函数
2)  reliability function
可信度函数
1.
In this paper, the major works are as follows:In this paper, a method for text categorization based on the fusion of multiple classifiers was presented, reliability function was introduction to select the text that hard to give determine by the main classifier, for these texts, multiple classifiers were used to give the determine which category the unlabeled documents belong to by voting.
通过引入可信度函数,选择出主分类器较难判决的文本,通过辅助分类器,对单一主分类器不易判决的文本通过多分类器投票方式进行判决。
2.
It was to evaluate the experimental result of single classifier using the reliability function,to classify the documents that were hard to be classified by voting.
通过引入可信度函数对单分类器效果进行评价,适时采用辅助分类器对较难分类的文档进行分类投票判决。
3)  belief density function
可信度密度函数
4)  Separable Boolean Function
可分布尔函数
1.
Counting of Separable Boolean Functions in Fixed Weights;
固定权值的可分布尔函数的计数
5)  possibility distribution function
可能性分布函数
1.
This paper is intended to generalize the one dimensional possibility measure totwo dimension by iritroducing two dimensional possibility distribution function.
本文通过引入二维可能性分布函数的概念,将可能性测度推广到二维的情形。
2.
To express the relationship between the gear condition and the symptom parameters,the probability density functions were translated to possibility distribution functions by p.
提出了5个时域中的无量纲特征参量,并应用可能性理论,把由实测数据求得的特征参量的概率密度函数转换为可能性分布函数,可表征特征参量与设备状态间的模糊关系。
6)  angular signal distribution function
角信号分布函数
1.
Ordinary methods for direction of arrival estimation of distributed source always assume the mathematical form of angular signal distribution function is known,and need to solve two or high dimension nonlinear parameter estimation problem.
现有的分布式信号源模型的DOA估计方法一般需要假设描述分布式目标信号源模型的角信号分布函数具体的数学形式已知,并需求解2维或高维非线性参数估计问题。
补充资料:可信度
可信度:指一项测试对其所测度的东西具有前后一致性。
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