Research on Ensemble Multi-Instance Learning

摘要

In this paper, an ensemble multi-instance classifier was designed using MISMO, CitationKNN, MDD, MIDD and MIEMDD. We apply two voting mechanisms to the ensemble multi-instance classifiers. On the musk training set, ensemble multi-instance learning performs well, and attains a modest performance increase compared to the individual classifiers.