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Does Score Bias Correction Improve the Fusion of Classifiers?

We demonstrate that the potential bias in the scores generated by individual classifiers negatively affects their fusion. Consequently, we present an algorithm to improve the effectiveness of score fusion in classification. The algorithm corrects the score class conditional bias before fusion. The i...

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Autors principals: Luis Vergara, Addisson Salazar
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2025-11-01
Col·lecció:Machine Learning and Knowledge Extraction
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Accés en línia:https://www.mdpi.com/2504-4990/7/4/151
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