Explaining Bagging
نویسنده
چکیده
منابع مشابه
Explaining Bagging with Monte Carlo Theory
In this paper we propose the use of the framework of Monte Carlo stochastic algorithms to analyze ensemble learning, specifically, bagging. In particular, this framework allows one to explain bagging’s behavior and also why increasing the margin improves performances. Experimental results support the theoretical analysis.
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