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 ...

Model search in probit regression is often conducted by simultaneously exploring the model and parameter space, using a reversible jump MCMC sampler. Standard samplers often have low model acceptance ...

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.

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

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 ...

A new frontier in brain science is moving out of the lab and into daily life. Researchers have built an artificial ...