ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Following Python packages are required: numpy,pandas,seaborn,matplotlib,pydot,igraph. We recommend using pip to install them on your local machine: pip install pandas ...

Background: Ethno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex ...

The body of the vessel’s cook was recovered while divers searched the hull of the Bayesian for passengers, including the tech entrepreneur Mike Lynch. By Elisabetta Povoledo Deep-sea divers with Italy ...

Relay protection rejection and misoperation exist in the existing distribution network, which will affect the fault diagnosis results. To diagnose faults in distribution networks, this paper presents ...

I've read through the documentation and notebooks for Continuous Factors several times, but there is still a big gap between what is written there and what I need to know to create an actual Bayesian ...