Adaptive Weighting Based Fusion Method of Multi-Classifiers

LIU Ru-jie; LI Hua-sheng; YUAN Bao-zong

doi:10.3969/j.issn.1673-0291.2001.02.004

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DOI: 10.3969/j.issn.1673-0291.2001.02.004

Adaptive Weighting Based Fusion Method of Multi-Classifiers

LIU Ru-jie

LI Hua-sheng

YUAN Bao-zong

Abstract：Combining information from multiple classifiers can improve the perfor mance of pattern recognition systems. However, the traditional methods always as sign fixed weights to the classifiers according to their classification performa nces without considering the sample itself. A clusterirng analogy fusion method is proposed in this paper, which estimates the reliability of each classifier by analyzing the distribution of samples, and adaptively assigns weights to classi fiers based on the reliability estimation. This method can be seen as a method l ying between feature level and decision level.

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Publication Date：2001-01-01

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：4( 14-17 )

JOURNAL OF NORTHERN JIAOTONG UNIVERSITY

PKUISTIC

ISSN：1673-0291

Year, Vol.(Issue)：2001,25(2)