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These belief function techniques which might be implemented inside the machine learning area usually leverage a fusion method of varied ensemble strategies to much better handle the learner's choice boundary, minimal samples, and ambiguous course challenges that common machine learning tactic are inclined to have problems resolving.[four][9] Having