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Kernel Ridge Regression with Randomly Right Censored Data

Kernel Ridge Regression with Randomly Right Censored Data

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This paper deals with the estimations of kernel ridge regression when the re-sponses are subject to randomly right censoring. The iterative reweighted leastsquares(IRWLS) procedure is employed to treat censored observations. The hyper-parameters of model which aect the performance of the proposed procedure areselected by a generalized cross validation(GCV) function. Experimental results arethen presented which indicate the performance of the proposed procedure.

This paper deals with the estimations of kernel ridge regression when the re-sponses are subject to randomly right censoring. The iterative reweighted leastsquares(IRWLS) procedure is employed to treat censored observations. The hyper-parameters of model which aect the performance of the proposed procedure areselected by a generalized cross validation(GCV) function. Experimental results arethen presented which indicate the performance of the proposed procedure.

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