中文说明：
该算法是机器学习领域新提出的一种能应用于分类和拟合的方法，被称为相关向量机(RVM)，相比于在这一领域表现出色的支持向量机(SVM)，该算法在保持杰出分类能力和拟合能力的同时，也表现出良好的稀疏性，因此拥有更好的泛化能力。本算法值得广大机器学习研究领域的科研人员借鉴学习。
English Description：
This algorithm is a new method in the field of machine learning, which can be applied to classification and fitting. It is called correlation vector machine (RVM). Compared with support vector machine (SVM), which has excellent performance in this field, this algorithm not only maintains excellent classification ability and fitting ability, but also shows good sparsity, so it has better generalization ability. This algorithm is worthy of learning by researchers in the field of machine learning.