To achieve a sparse solution for least squares support vector regression (LS-SVM), an algorithm called vector base learning (VBL) is proposed in this paper.

• 摘要为使最小二乘支持向量机的解具有稀疏性，本文提出了一种稀疏解算法-矢量基学习。