2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes Tianjin, China August 14-August 16 ISBN: 978-0-7695-3735-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.688
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.
Index Terms:
boosting, dynamic weighting, RegionBoost, kNN, fractional distance metircs
Citation:
Xinzhu Yang, Bo Yuan, Wenhuang Liu, "The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes," fskd, vol. 1, pp.320-324, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||