2 search results - page 1 / 1 » Monte Carlo Theory as an Explanation of Bagging and Boosting |
81
Voted
IJCAI
2003
14 years 11 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
15 years 3 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...