abstract:In Bayesian statistics, a hyperparameter is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for the underlying system under analysis. They arise particularly in the use of conjugate priors.
In this paper, softsensormodelingmethodbased onLeastSquareSVM (LS SVM) is proposed, and cross validationmethod is used to select hyper-parameter of LS SVM model.