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Analysis of regularized least-squares in reproducing kernel Kreĭn spaces.

, , , , and . Mach. Learn., 110 (6): 1145-1173 (2021)

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Componentwise Support Vector Machines for Structure Detection., , and . ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 643-648. Springer, (2005)Margin based Transductive Graph Cuts using Linear Programming., , , and . AISTATS, volume 2 of JMLR Proceedings, page 363-370. JMLR.org, (2007)Two-stage Best-scored Random Forest for Large-scale Regression., , and . CoRR, (2019)Learning from General Label Constraints., , and . SSPR/SPR, volume 3138 of Lecture Notes in Computer Science, page 671-679. Springer, (2004)Nyström landmark sampling and regularized Christoffel functions., , and . CoRR, (2019)Least Squares Support Vector Machines, , , , and . World Scientific, (2002)Variable selection by rank-one updates for least squares support vector machines., , and . IJCNN, page 2283-2288. IEEE, (2007)Polynomial componentwise LS-SVM: Fast variable selection using low rank updates., , , and . IJCNN, page 1-7. IEEE, (2010)Subspace identification of Hammerstein systems using least squares support vector machines., , , and . IEEE Trans. Automat. Contr., 50 (10): 1509-1519 (2005)Out-of-sample eigenvectors in kernel spectral clustering., and . IJCNN, page 2349-2356. IEEE, (2011)