Highly Influenced

@article{Shao2012AnS, title={An ε-twin support vector machine for regression}, author={Yuan-Hai Shao and Chunhua Zhang and Zhi-Min Yang and Ling Jing and Nai-Yang Deng}, journal={Neural Computing and Applications}, year={2012}, volume={23}, pages={175-185} }

- Published 2012 in Neural Computing and Applications
DOI:10.1007/s00521-012-0924-3

This study proposes a new regressor—ε-twin support vector regression (ε-TSVR) based on TSVR. ε-TSVR determines a pair of ε-insensitive proximal functions by solving two related SVM-type problems. Different form only empirical risk minimization is implemented in TSVR, the structural risk minimization principle is implemented by introducing the regularization term in primal problems of our ε-TSVR, yielding the dual problems to be stable positive definite quadratic programming problems, so can… CONTINUE READING