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We propose compound diversity functions which combine the diversities with the performance of each individual classifier, and show that there is a strong ...
An effective way to improve a classification method's performance is to create ensembles of classifiers. Two elements are believed to be important in ...
This work proposes compound diversity functions which combine the diversities with the performance of each individual classifier, and shows that there is a ...
We propose compound diversity functions which combine the diversities with the performance of each individual classifier, and show that there is a strong ...
An effective way to improve a classification method's performance is to create ensembles of classifiers. Two elements are believed to be important in ...
We propose compound diversity functions which combine the diversities with the classification accuracy of each individual classifier, and show that with Random ...
Compound diversity functions for ensemble selection - Livia
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Dec 22, 2020 · Compound diversity functions for ensemble selection · Share this entry · You might also like.
Bibliographic details on Compound Diversity Functions for Ensemble Selection.
diversity measures and ensemble accuracy, and the corre- lation between compound diversity functions and ensemble accuracy. NBC, QDC, and NNC are applied on ...
Jan 28, 2024 · Ensemble diversity was originally investigated for boosting, bagging, and the sum and product rule for majority voting (Domeniconi & Yan, ...