Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has increased over the years, so has the development of simulation-based ...

Cell Research - A novel Bayesian network inference algorithm for integrative analysis of heterogeneous deep sequencing data ...

They described the algorithm in “ Minimizing the levelized cost of electricity for bifacial solar panel arrays using Bayesian optimization,” which was recently published in Sustainable Energy ...

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...

The results are compared to those achieved using the regularized expectation–maximization algorithm, and in these experiments the Bayesian algorithm produces reconstructions with greater skill. The ...

We developed a novel empirical Bayesian EN (EBEN) algorithm for multiple QTL mapping that inherits the efficiency of our previously developed EBlasso algorithm.

They constructed weekly binned light curves and utilized a Bayesian algorithm, finding that their sample was dominated by blazars with low flare duty cycles and energy fractions.

Low-frequency radar bends around and sometimes penetrates solid objects, Bayesian algorithms help identify and eliminate ghost images.

Our research built on the Naïve Bayes algorithm or classifier, a popular supervised machine learning algorithm, for crime prediction.