Computer Science ›› 2008, Vol. 35 ›› Issue (3): 188-190.

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ZHANG Jian-Pei, CHENG Li-Li ,YANG Jing, MA Jun (College of Computer Science and Technology, Harbin Engineering University of China, Harbin 150001)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: The base classifiers trained by AdaBoost combination learning algorithm are produced orderly, diversity and complementarity of base classifiers are assured. But along with the iterative process of AdaBoost, the classifier which represents different area c

Key words: AdaBoost, Dynamic multiple classifiers combination, Full information correlation

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