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- W2369109892 abstract "Aiming at the problem that the low classification accuracy rate of small sample in machine learning,this paper proposes a weighted integration of multiple classifiers method based on Hybrid Multiple Distances(HMD) measurement.In this method,three measure methods are combined,and the output of each classifier is integrated by weighted majority voting.It designs the mixed distance measure weighted method,and uses the weighted voting combination rules to integrate the classifier output results.Experimental results show that this method has good robustness and high classification accuracy." @default.
- W2369109892 created "2016-06-24" @default.
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- W2369109892 date "2012-01-01" @default.
- W2369109892 modified "2023-09-24" @default.
- W2369109892 title "Research on Weighted Integration of Multiple Classifier Based on Hybrid Multiple Distance Measurement" @default.
- W2369109892 hasPublicationYear "2012" @default.
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