An Efficient Contesting Procedure for AutoML Optimization
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DOI: 10.1109/access.2022.3192036
Abstract: Automated Machine Learning (AutoML) frameworks are designed to select the optimal combination of operators and hyperparameters. Classical AutoML-based Bayesian Optimization approaches often integrate all operator search spaces into a single search space. However, a disadvantage… read more here.
Keywords: search space; contesting procedure; space; efficient contesting ... See more keywords