The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes

—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. Keywords-boosting; dynamic weighting; RegionBoost; kNN; fractional distance metircs

• Type: Conference
• Year: 2009
• Where: FSKD
• Authors: Xinzhu Yang, Bo Yuan, Wenhuang Liu
• Keywords: Dynamic Weighting, Dynamic Weighting Schemes, FSKD 2009, Non-Euclidean Distance Metrics