On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs

Jordan F. Masakuna, Pierre K. Kafunda, Mardochee L. Kayembe. On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs. In 25th International Conference on Information Fusion, FUSION 2022, Linköping, Sweden, July 4-7, 2022. pages 1-8, IEEE, 2022. [doi]

Abstract

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