Task: Summarization
Input (English): When considering simultaneously a finite number of tasks, multi-output learning enables one to account for the similarities of the tasks via appropriate regularizers. We propose a generalization of the classical setting to a continuum of tasks by using vector-valued RKHSs.
Output (English): We propose an extension of multi-output learning to a continuum of tasks using operator-valued kernels.