A Novel Least Square Twin Support Vector Regression

作者：Zhiqiang Zhang, Tongling Lv, Hui Wang, Liming Liu, Junyan Tan

摘要

This paper proposes a new method for regression named lp norm least square twin support vector regression (PLSTSVR), which is formulated by the idea of twin support vector regression (TSVR). Different from TSVR, our new model is an adaptive learning procedure with p-norm SVM (\({{0

论文关键词：LSTSVR, TWSVR, p-norm, Sparsity, Feature selection

论文评审过程：

论文官网地址：https://doi.org/10.1007/s11063-017-9773-5