Probabilistic learning of partial least squares regression model: Theory and industrial applications

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• 作者：Junhua Zheng ; Zhihuan Song ; Zhiqiang Ge ; ^{gezhiqiang@zju.edu.cn}
• 关键词：Probabilistic partial least squares ; Regression modeling ; Expectation-maximization ; Mixture probabilistic model
• 刊名：Chemometrics and Intelligent Laboratory Systems
• 出版年：2016
• 出版时间：15 November 2016
• 年：2016
• 卷：158
• 期：Complete
• 页码：80-90
• 全文大小：1276 K
• 卷排序：158

文摘

A probabilistic form of the partial least squares model is developed. Bayesian inference and Expectation-Maximization algorithm are designed for parameter learning. A mixture form of the probabilistic partial least squares model is further developed. Two application studies are carried out for performance evaluation.