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 ...

So, what did the researchers do? They developed a novel algorithm called PEBOL (P reference E licitation with B ayesian O ptimization Augmented L LMs) that combines the language understanding ...

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 ...