A Bayesian optimization approach has been proposed recently for the optimization problems involving the evaluations of black-box functions with high computational cost in either objective functions or ...

Learn about the Bayesian Network’s meaning, role in predictive modeling, and differences from other AI techniques with Techopedia.

Bayesian network structure learning is one of the current research hotspots in fields such as statistics and machine learning. Although it has great potential and application prospects, when there are ...

There is a lot of room for developing the BN algorithm for anesthesia decision-making in ERAS. In this study, we aimed to develop a method for anesthesia decision optimization in ERAS and then ...

Automation and optimization of chemical systems require well-informed decisions on what experiments to run to reduce time, materials, and/or computations. Data-driven active learning algorithms have ...

Keywords: explainable machine learning, Bayesian statistics, greedy algorithms, Bayesian decision trees, white box Citation: Nuti G, Jiménez Rugama LIA and Cross A-I (2021) An Explainable Bayesian ...