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Second Order Cone Programming Formulations for Handling Data with Perturbation.

, and . J. Convergence Inf. Technol., 5 (9): 267-278 (2010)

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Least squares support vector machine with parametric margin for binary classification1., , and . Journal of Intelligent and Fuzzy Systems, 30 (5): 2897-2904 (2016)Adaptive support vector machine with homogeneous decision function., and . ICNC, page 53-57. IEEE, (2012)∊-Kernel-free soft quadratic surface support vector regression., , , , and . Inf. Sci., (2022)Multiple birth support vector machine for multi-class classification., , and . Neural Comput. Appl., 22 (Supplement-1): 153-161 (2013)Non-parallel hyperplanes ordinal regression machine., , and . Knowl. Based Syst., (2021)Support Vector Regression with Smoothing Property., , and . ICNC (1), volume 3610 of Lecture Notes in Computer Science, page 217-220. Springer, (2005)Natural Language Processing of COVID-19 Reports Involving China in New York Times - a Machine-based Framing Study of Media Language., and . NLPIR, page 137-143. ACM, (2022)Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context., , , and . BMC Syst. Biol., 5 (S-1): S6 (2011)Least squares support vector machine with parametric margin for binary classification., , and . J. Intell. Fuzzy Syst., 30 (5): 2897-2904 (2016)A unified kernel sparse representation framework for supervised learning problems., , , and . Neural Comput. Appl., 36 (9): 4907-4930 (2024)