A Dynamic AdaBoost Algorithm With Adaptive Changes of Loss Function

Multi-class AdaBoost

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A time-series modeling method based on the boosting gradient-descent theory

(2011) YunLong Gao et al.   Science China-Technological Sciences

Reduced Reward-punishment editing for building ensembles of classifiers

(2010) Loris Nanni et al.   EXPERT SYSTEMS WITH APPLICATIONS

An Efficient Tree Classifier Ensemble-Based Approach for Pedestrian Detection

(2010) Yanwu Xu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Time Series Clustering Via RPCL Network Ensemble With Different Representations

(2010) Yun Yang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Edited AdaBoost by weighted kNN

(2010) Yunlong Gao et al.   NEUROCOMPUTING

AdaBoost-Based Algorithm for Network Intrusion Detection

(2008) Weiming Hu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

EDITORIAL

(2008) XIZHAO WANG et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

gBoost: a mathematical programming approach to graph classification and regression

(2008) Hiroto Saigo et al.   MACHINE LEARNING

Boosting recombined weak classifiers

(2007) Juan J. Rodríguez et al.   PATTERN RECOGNITION LETTERS