Original paper

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

Volume: 158, Pages: 80 - 90
Published: Nov 1, 2016
Abstract
This paper formulates a probabilistic form of the widely used Partial Least Squares (PLS) model for regression modeling and application in industrial processes. Different from the existing probabilistic Principal Component Analysis/Principal Component Regression models, two types of latent variables are introduced into the probabilistic PLS model structure. For training and parameter learning of the probabilistic PLS model, the Bayes rule is...
Paper Details
Title
Probabilistic learning of partial least squares regression model: Theory and industrial applications
Published Date
Nov 1, 2016
Volume
158
Pages
80 - 90
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