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 ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs).

Statistical analysis on landmark-based shape spaces has diverse applications in morphometrics, medical diagnostics, machine vision and other areas. These shape spaces are non-Euclidean quotient ...

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.

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 ...

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 ...