搜索资源列表
BayesPointMachine
- Minka s Bayes Point Machine. Applying Expectation Propagation to inference.
emfull
- Expectation Maximization for training GMM s, full covariances. Requires vqtrain.m to have a good initialization.
SV
- IBM Model 1 Expectation Algorithm which takes two pieces of texts in different languages, and outputs the text alignment in a table, as well as the Viterbi alignment
dynamic-expectation-and-variance
- 做动态图像的处理时，即做视频处理时，动态特征是不可或缺的，尤其是动态的期望和方差是我们必须使用的两个量，本程序提供了提取的算法-Do dynamic image processing, video processing is done, the dynamic characteristic is indispensable, especially in the dynamic expectation and variance is that we must use two quantities,
EM
- mathematica中关于高斯函数混合分布参数的求解过程。-about Expectation-maximization algorithm in mathematica。
vbgm
- expectation maximization