The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes
Xinzhu Yang, Bo Yuan, Wenhuang Liu · 2009
This paper presents some preliminary experimental results on RegionBoost, which is a typical example of a class of boosting algorithms based on dynamic weighting schemes. It is shown that the performance of RegionBoost with the k-nearest neighbor (kNN) algorithm as the competency predictor of its basic classifiers can be significantly improved on a variety of standard UCI benchmark datasets by using non-Euclidean distance metrics.