@article {IOPORT.06091205,
    author       = {Hu, Guanghua and Xu, Ruzheng},
    title        = {Least squares twin support vector machines for regression.},
    year         = {2011},
    journal      = {Journal of Yunnan University. Natural Sciences Edition},
    volume       = {33},
    number       = {6},
    issn         = {0258-7971},
    pages        = {621-626},
    publisher    = {Editorial Department of Journal of Yunnan University (Natural Sciences), Kunming, Yunnan},
    abstract     = {Summary: Using least squares methods and proximal support vector machine, combining with twin support vector machine (TSVR), the least squares twin SVR for regression (LSTSVR) is proposed. For comparison, the LSTSVR is only needed to solve two linear equations instead of two quadratic programming problems in TSVR. Finally, the simulated experiments confirm the validity and the efficiency of LSTSVR.},
    identifier   = {06091205},
}