A Regression SVM Selection Ensemble Approach
一种回归SVM选择性集成方法

Generalization performance is a basic problem for machine learning, and ensemble learning technique can improve the generalization performance effectively. This paper presents a selective ensemble learning approach based on SVM regression. By introducing three threshold parameters, some component SVM can be chose, and the efficiency of the whole ensemble learning system can be further improved. Simulation results demonstrate the presented approach can solve model selection and learning for large-scale dates...