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Kernel ridge regression

Zhang, P., Lee, C., Verweij, H., Akbar, S.A., Hunter, G. and Dutta, P.K. (2007) High temperatiue sensor array for simultaneous determination of O2, CO, and CO2 with kernel ridge regression data analysis. Sens. Actuators B, 123 (2), 950-63. [Pg.476]

Kernel K M.Mj), or its normahzed version K (MM), can be plugged in any kernel-based maehine learning method (such as Support Vector Machine, Kernel Ridge Regression [10], Kernel Partial Least Squares [28], Gaussian Proeesses, etc.) in order to build regression, classification, novelty deteetion models, ete. [Pg.438]


See other pages where Kernel ridge regression is mentioned: [Pg.405]    [Pg.434]    [Pg.438]    [Pg.405]    [Pg.434]    [Pg.438]   
See also in sourсe #XX -- [ Pg.405 ]

See also in sourсe #XX -- [ Pg.434 , Pg.438 ]




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