Background Japan’s ‘Health Japan 21’ initiative targets a reduction in adult smoking prevalence to 12% by 2032. This study ...

Enhanced computing performance is achieved using nanomaterial-based probabilistic-bits with high operational stability.

The workshop, "Efficient Approximate Bayesian Inference," drew participants from across the world. The main goals of the workshop were to enhance variational methods for analyzing complex data sets, ...

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

R and Netica were used to build the Bayesian network model and implement Bayesian inference, respectively. Stata15.0 was used for data analysis and p < 0.05 was statistically significant. Because a ...

Abstract: Conventional wireless communication receivers guided by Bayesian inference methods need to know the exact statistical relationship among variables, which is hard to obtain accurately in ...

To this end, a novel multi-task learning framework is proposed by devising a divide-and-conquer variational Bayesian (DC-VB) inference, so that elaborated features of interests can be exploited for a ...

Department of Molecular Medicine, Scripps Research, 10550 N. Torrey Pines Rd., La Jolla, California 92037, United States The Mass Spectrometry Core for Proteomics and Metabolomics, The Salk Institute ...

Key Laboratory for Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, P. R. China ...

ReactiveMP.jl is a Julia package that provides an efficient reactive message passing based Bayesian inference engine on a factor graph. The package is a part of the bigger and user-friendly ecosystem ...