SPOCC builds possibility distributions from validation confusion matrices and aggregates them with data-adaptive t-norms, yielding a scalable, incremental classifier combination method with claimed asymptotic robustness guarantees.
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SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers
SPOCC builds possibility distributions from validation confusion matrices and aggregates them with data-adaptive t-norms, yielding a scalable, incremental classifier combination method with claimed asymptotic robustness guarantees.