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 ...

To address this challenge and enhance the efficiency of MDA based on TVAR model, we propose a Sparse Bayesian Network (SBN) that unfolds a fast Mean Field SBL (MF) using a deep variational ...

Lasmiditan is a promising treatment for menstrual migraine, offering sustained pain relief comparable to or exceeding that of triptans. However, further research is needed to fully assess its safety ...

The proposed approach combines sparse Bayesian learning (SBL) with a convolutional neural network (CNN). The CNN is utilized to classify DOA based on the spherical harmonics decomposition (SHD) of ...

A new study published in BMC Pregnancy and Childbirth found that the interpregnancy interval (IPI) of 24-29 months decreases ...

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.

Astronomers at the Max Planck Institute for Astronomy have created the most comprehensive three-dimensional map of the ...

When we observe distant celestial objects, there is a possible catch: Is that star I am observing really as reddish as it ...

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Astronomers rely on clear observations to study celestial objects, but cosmic dust alters what we see, making stars appear ...

Astronomers have constructed the first detailed 3D map of the properties of cosmic dust in our home galaxy. For their map, the astronomers used 130 million spectra from ESA's Gaia mission, results ...