A PyTorch-based Bayesian Network framework designed to handle continuous data, enabling continuous inference with continuous CPDs. It leverages GPU acceleration and batch operations, and is intended ...

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning ...

Then the judgement criterion of independent, simultaneous correlation and time-lagged correlation is given. To structure the model to describe the time-lagged correlation, the Time-lagged Dynamic ...

Reliability evaluation is important in high speed railway external power supply design, based on probability reasoning bayesian network applied in high-speed railway external power supply reliability ...

After random selection, data from 1522 mother–child pairs were used in this study. Exposures and outcome measures Additive Bayesian network analysis was used to investigate the interdependency of ...

approach that utilizes Bayesian recurrent neural network (BRNN) as the surrogate model, given its capability in handling sequential data and providing uncertainty quantifications for the output. In ...

The following is a summary of “Effect of different maneuvers of repositioning on benign paroxysmal vertigo: a network ...

The long/short hedge fund, ORCA BASON fund, started in January 2023 by accident, Ayushman Nath, an analyst at Oraclum Capital, explains to Opalesque.

This study adds to growing evidence that a lower blood pressure target might be better for many older adults. Aiming for a ...

The ruins of the doomed superyacht Bayesian that sunk off the Sicilian coast will be raised from the sea bed — as officials search for more clues about the tragic wreck. Italian authorities will ...

How can AI help mycotoxin research and management? This is the title of the presentation given by Ine van der Fels-Klerx, ...