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DISTURBANCE DATA RECONSTRUCTION ERROR ESTIMATION DEVICE, DISTURBANCE DATA RECONSTRUCTION ERROR ESTIMATION METHOD AND PROGRAM

机译:扰动数据重构误差估计装置,扰动数据重构误差估计方法和程序

摘要

PROBLEM TO BE SOLVED: To provide a disturbance data reconstruction error estimation device for estimating an error Vbetween a probability density function representing generation distribution of source data and a histogram equivalent with a probability density function representing generation distribution of reconstruction source data without estimating the histogram equivalent with the probability density function representing the generation distribution of the reconstruction source data.SOLUTION: The disturbance data reconstruction error estimation device comprises: a transition probability matrix calculation part 110 for calculating a transition probability matrix Pwhile using a conditional probability Pwhich is defined in accordance with whether an attribute A(1≤j≤M) is a category attribute or a numerical attribute; and an error calculation part 120 for calculating variance (1≤m,n≤|A|, m=n) of xor covariance (1≤m,n≤|A| m≠n) of xand xas an error Vwhile using a number N of sample data items, a frequency Hx (x) (1≤i≤|A|) of xthat appears in the sample data, and the transition probability matrix P(1≤j≤M).SELECTED DRAWING: Figure 3
机译:解决的问题:提供一种扰动数据重构误差估计装置,用于估计表示源数据的生成分布的概率密度函数与直方图等效的直方图与表示重构源数据的生成分布的概率密度函数之间的误差V,而无需估计直方图解决方案:干扰数据重建误差估计装置包括:转移概率矩阵计算部分110,用于使用根据条件定义的条件概率P来计算转移概率矩阵P。属性A(1≤j≤M)是类别属性还是数值属性;误差计算部120,其使用数来将x和x的x或x的协方差(1≤m,n≤| A |,m≠n)的方差(1≤m,n≤| A |,m = n)作为误差V来计算。 N个样本数据项,出现在样本数据中的x的频率Hx(x)(1≤i≤| A |)和跃迁概率矩阵P(1≤j≤M)。图3

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