Learning from Data Approaches to the History Fitting Problem

"Learning approaches from data for the history adjustment problem" (PhD). Candidate: Cristina Célia Barros Cavalcante. Advisor: professor Anderson de Rezende Rocha. April 30, 2020, at 14 pm, at IC.

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