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A number of data-driven fuzzy measure (FM) learning techniques have been put forth for the fuzzy integral (FI). Examples include quadratic programming, Gibbs sampling, gradient descent, reward and punishment and evolutionary optimization. However, most approaches focus solely on the minimization of the sum of squared error (SSE). Limited attention has been placed on characterizing and subsequently...
There has been some evidence that decision outcomes can be impacted by providing metadata about the quality of the data used in a decision, but there is no agreement on the specific context in which such impact is observed. Furthermore, there has been little emphasis on the semantics and usability of such metadata in research to date, with consequent implications for experimental soundness. In this...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.