In the process, we calculate the posterior probability of semantics by unlabeled samples information.
在计算的过程中，使用了未标记样本的信息计算语义出现的后验概率。
2
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
3
The probability based matching(PBM) search on mass spectral data not only provides pure samples results (with forward PBM search), but also separates compounds in a mixture (with reversed PBM search).