Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions

摘要

This paper uses multiple approximation model ensembles to solve a multi-input multi-output learning task. An ensemble is on behalf of a specified class, and composed of several multi-input single-output (MISO) approximation models. An MISO model may be ei