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- 2018-09-25
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Description: 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.
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Filename | Size | Date |
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基于高斯过程回归模型的锂电池数据处理.pdf | 4941941 | 2018-09-18
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GPR.m | 1184 | 2018-06-07 |