Some basic SVMs are constructed by adopting different kernel function or parameters and then the final prediction is obtained through aggregating the results of these basic SVMs.

• 提出一种基于SVM集成的核选择方法，利用不同的核函数构造子SVM学习器，然后对子学习器的预测结果集成。