The optimization of model hyperparameters (or model settings) is perhaps the most important step in training a machine learning algorithm as it leads to finding the optimal parameters that minimize ...

Bayesian Optimization (BO) is a global optimization technique designed for expensive, black-box functions – i.e., functions that are costly to evaluate and for ...

Automated driving systems (ADS) have undergone a significant improvement in the last years. ADS and more precisely self-driving cars technologies will change the way ...