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Learning with the maximum correntropy criterion induced losses for regression.

, , , , и . J. Mach. Learn. Res., (2015)

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A K Ertan

Fawzi A K Hussain

Tuulikki A K Harmia

Andrea A -K Fischer

Nikolaus K A Läufer

 

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