most citedPossibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.AI2016★ 2 cited

Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy

Maroua Haddad, Philippe Leray, Nahla Ben Amor

There has been an ever-increasing interest in multidisciplinary research on representing and reasoning with imperfect data. Possibilistic networks present one of the powerful frame…