Demetris Lamnisos, Jim E. Griffin, Mark F. J. Steel, Transdimensional Sampling Algorithms for Bayesian Variable Selection in Classification Problems With Many More Variables Than Observations, Journal ...

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 ...

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

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 ...

Researchers have developed a general quantum algorithm that can directly calculate the energy difference of an atom and molecule using a quantum computer. By avoiding the need to calculate the ...

Researchers say they've developed an algorithm that can teach a new concept to a computer using just one example rather than thousands.

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