Support vector machines (SVMs) have become a popular technique in the chemometrics and bioinformatics field, and other fields, for the classification of complex data sets. Especially because SVMs are ...

The optimization of hyperparameters is a tedious problem that impacts the performance of a model. The main purpose of the present research is to support future research to configure suitable ...

In this paper, we explore the issue of pneumatic control valve using a model-based Support Vector Machine (SVM) classification approach. To solve the problem of poor performance of data-driven SVM on ...