Support Vector Machine Committee for Classification

摘要

In this paper the support vector machine committee is proposed. For a practical pattern recognition problem, usually numerous of features can be used to represent the pattern. SVM committee can utilize these features efficiently and a classifier with better generalization can be obtained. Moreover, a novel aggregation approach of support vector machine committee is also proposed in this paper. The simulating results demonstrate the effectiveness and efficiency of our approach.