出版社：Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia
摘要：The goal of this paper is to propose a hybrid technique to improve Support Vector
Machines classification accuracy using training data sampling and hyperparameter tuning. The
proposed technique applies clustering to select training data and parameter tuning to optimize
classifier effectiveness. The paper reports that better results were obtained using our proposed
method in all experiments, compared to results of method presented in our previous work.
