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Learning with the maximum correntropy criterion induced losses for regression., , , , and . J. Mach. Learn. Res., (2015)Learning Transformation Models for Ranking and Survival Analysis., , , and . J. Mach. Learn. Res., (2011)Kernel Regression in the Presence of Correlated Errors., , , and . J. Mach. Learn. Res., (2011)Robust classification of graph-based data., , and . Data Min. Knowl. Discov., 33 (1): 230-251 (2019)Sparse conjugate directions pursuit with application to fixed-size kernel models., , , , and . Mach. Learn., 85 (1-2): 109-148 (2011)Benchmarking Least Squares Support Vector Machine Classifiers., , , , , , , and . Mach. Learn., 54 (1): 5-32 (2004)Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction., , , and . Bioinform., 20 (17): 3185-3195 (2004)Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee., , , , and . Mach. Learn., 104 (2-3): 195-221 (2016)M@CBETH: a microarray classification benchmarking tool., , , , , and . Bioinform., 21 (14): 3185-3186 (2005)Least conservative support and tolerance tubes., , , and . IEEE Trans. Inf. Theory, 55 (8): 3799-3806 (2009)