2 search results - page 1 / 1 » Monte Carlo Theory as an Explanation of Bagging and Boosting |
IJCAI
2003
13 years 6 months ago
2003
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
IDEAL
2007
Springer
13 years 10 months ago
2007
Springer
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...