Highly Influenced
10 Excerpts
An improved multiclass LogitBoost using adaptive-one-vs-one
- Published 2014 in Machine Learning
Abstract
LogitBoost is a popular Boosting variant that can be applied to either binary or multi-class classification. From a statistical viewpoint LogitBoost can be seen as additive tree regression by minimizing the Logistic loss. Following this setting, it is still non-trivial to devise a sound multi-class LogitBoost compared with to devise its binary counterpart… (More)