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Least squares recursive projection twin support vector machine for classification., , and . Pattern Recognition, 45 (6): 2299-2307 (2012)The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification., , , , and . ITQM, volume 17 of Procedia Computer Science, page 1032-1038. Elsevier, (2013)An ε-twin support vector machine for regression., , , , and . Neural Computing and Applications, 23 (1): 175-185 (2013)Weighted Linear Loss Support Vector Machine for Large Scale Problems., , , and . ITQM, volume 31 of Procedia Computer Science, page 639-647. Elsevier, (2014)Feature Selection Based On Linear Twin Support Vector Machines., , and . ITQM, volume 17 of Procedia Computer Science, page 1039-1046. Elsevier, (2013)A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression., , , and . ITQM, volume 55 of Procedia Computer Science, page 944-952. Elsevier, (2015)Least squares recursive projection twin support vector machine for multi-class classification., , , and . Int. J. Machine Learning & Cybernetics, 7 (3): 411-426 (2016)Combined outputs framework for twin support vector machines., , , , and . Appl. Intell., 43 (2): 424-438 (2015)Multiple recursive projection twin support vector machine for multi-class classification., , , , and . Int. J. Machine Learning & Cybernetics, 7 (5): 729-740 (2016)Research on the Application of Distributed Intrusion Detection System Based on Election Algorithm., , and . HCC, volume 8944 of Lecture Notes in Computer Science, page 670-676. Springer, (2014)