Gaussian Process Regression is a statistical machine learning method based on Bayesian principle. It transforms prior distribution into posterior distribution by Bayesian theorem. The greatest advantage of Gauss process regression is that it can easily infer Super-parameters and give confidence interval of predicted values.

Filename	Size	Update
基于高斯过程回归模型的锂电池数据处理.pdf	4941941	2018-09-18
GPR.m	1184	2018-06-07

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