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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
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
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