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Found 2 papers, 1 papers with code
Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors
These unlabelled records are not possible to use for training quality variable predictions based on supervised learning methods.
An Exploratory Analysis of Biased Learners in Soft-Sensing Frames
In offline learning, predictions of RVM and Lasso were found to be superior to those of PLS when a large number of time-lagged predictors were used.
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