Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
Abstract: This work demonstrates the potential of the proposed Bayesian optimization (BO). It is based on neural architecture search (NAS) for the classification of gases/odors for datasets of diverse ...
Abstract: Fine-tuning hyperparameters plays a crucial role in boosting the accuracy and efficiency of image classification models. However, traditional approaches like grid search can be quite ...
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