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Ensemble regression method shows better performance than single regression since ensemble regression method can combine several single regression methods together to improve accuracy and stability of a single regressor. In this paper, we propose a novel kernel ensemble regression method by minimizing total least square loss in multiple Reproducing Kernel Hilbert Spaces (RKHSs). Base kernel regressors...
In this paper, co-regularized kernel ensemble regression scheme is brought forward. In the scheme, multiple kernel regressors are absorbed into a unified ensemble regression framework simultaneously and co-regularized by minimizing total loss of ensembles in Reproducing Kernel Hilbert Space. In this way, one kernel regressor with more accurate fitting precession on data can automatically obtain bigger...
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