RVM exploits Bayesian learning framework, which has dramatically fewer kernel functions than comparative support vector machine.So that accurate prediction models can be acquired.

• RVM使用贝叶斯方法推理，推广能力好，与支持向量机相比解更为稀疏，这些保证了RVM算法具有良好的预测能力。