An ensemble learning algorithm based on generalized attribute value partitioning

摘要

The method of disturbing training data randomly to train individual classifiers has been widely applied in some ensemble learning methods such as Bagging and Boosting to achieve strong generalization ability, however, it seems something blind. In this pap