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. 2020 Mar 31;20(7):1957. doi: 10.3390/s20071957
AI artificial intelligence
AL active learning
AL-GPR Gaussian process regression based on active learning
AL-EGPR ensemble Gaussian process regression based on active learning
ANN artificial neural network
BIC Bayesian information criterion
EGPR ensemble Gaussian process regression with random selection strategy
EM expectation maximization
FCM fuzzy C-means
GMM Gaussian mixture model
GP Gaussian process
GPR Gaussian process regression
HC hierarchical clustering
ML machine learning
PCR principal component regression
PFP penicillin fermentation process
PLS partial least squares
RMSE root-mean-square error
RS random selection
SVM support vector machine
TP tracking precision