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Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine.

, , , , , and . Comput. Stat. Data Anal., 53 (5): 1736-1742 (2009)

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Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices., , and . Neurocomputing, (2014)Kernel-based random effect time-varying coefficient model for longitudinal data., , and . Neurocomputing, (2017)A Simple Quantile Regression via Support Vector Machine., and . ICNC (1), volume 3610 of Lecture Notes in Computer Science, page 512-520. Springer, (2005)Doubly Regularized Kernel Regression with Heteroscedastic Censored Data., and . ICNC (1), volume 3610 of Lecture Notes in Computer Science, page 521-527. Springer, (2005)Incremental Feature Extraction Based on Empirical Kernel Map., , , , and . ISMIS, volume 2871 of Lecture Notes in Computer Science, page 440-444. Springer, (2003)Interval Regression Analysis Using Support Vector Machine and Quantile Regression., , , , and . FSKD (1), volume 3613 of Lecture Notes in Computer Science, page 100-109. Springer, (2005)Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output., , , and . CIS, volume 4456 of Lecture Notes in Computer Science, page 317-325. Springer, (2006)Support vector quantile regression with varying coefficients., , and . Comput. Stat., 31 (3): 1015-1030 (2016)Interval regression analysis using quadratic loss support vector machine., and . IEEE Trans. Fuzzy Syst., 13 (2): 229-237 (2005)T-sum of sigmoid-shaped fuzzy intervals., , and . Inf. Sci., 177 (18): 3831-3839 (2007)