No matter what kind of traditional HPC simulation and modeling system you have, no matter what kind of fancy new machine learning AI system you have, IBM has an appliance that it wants to sell you to ...

Bayesian optimization (BO) can help determine the optimal deposition conditions for high-performance passivation films in solar cells. However, simple implementations tend to suggest excessively thick ...

BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...

At its F8 developer conference, Facebook today launched Ax and BoTorch, two new open-source AI tools. BoTorch, which, as the name implies, is based on PyTorch, is a library for Bayesian optimization.

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

University courses in elementary statistics are usually taught from a frequentist perspective. In this paper I suggest how such courses can be taught using a Bayesian approach, and I indicate why ...

This is a preview. Log in through your library . Abstract A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial ...