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L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.

, , , , and . Comput. Biol. Chem., (2020)

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Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification., , , and . Int. J. Mach. Learn. Cybern., 13 (1): 199-216 (2022)Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification., , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 537-545. Springer, (2020)Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification., , , , and . BMC Bioinform., 21 (1): 445 (2020)A Diversified Attention Model for Interpretable Multiple Clusterings., , , , , and . IEEE Trans. Knowl. Data Eng., 35 (9): 8852-8864 (September 2023)L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification., , , , and . Comput. Biol. Chem., (2020)Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification., , , , , and . Appl. Intell., 52 (8): 8572-8587 (2022)Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification., , , , and . Knowl. Based Syst., (2021)Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification., , , , , and . ICIC (2), volume 12837 of Lecture Notes in Computer Science, page 532-539. Springer, (2021)