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cs.LG2024
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures
Yuko Kato, David M. J. Tax, Marco Loog
Conformal prediction, which makes no distributional assumptions about the data, has emerged as a powerful and reliable approach to uncertainty quantification in practical applicati…
cs.AI2024
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
Kim van den Houten, Léon Planken, Esteban Freydell +2
This study investigates scheduling strategies for the stochastic resource-constrained project scheduling problem with maximal time lags (SRCPSP/max)). Recent advances in Constraint…