Kernel machines with missing responses
Kernel machines with missing responses
Missing responses is a common type of data where the interested outcomes are not always observed. In this paper, we develop two new kernel machines to handle such a case, which can be used for both regression and classification. The first proposed kernel machine uses $\text{only}$ the complete cases where …