To mitigate the curse of dimensionality of HK for high-dimensional problems, an infinite-width Bayesian neural network correlation function is developed and incorporated to the HK model. Theoretical ...

This paper discusses the radiation response of a power supply system by combining the power converters radiation effects and the dynamic Bayesian network (DBN) model. The total ionizing dose (TID) ...

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 ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Sir Andrew Haines, Chief Executive of Network Rail, has advised the Board that he has decided to retire from the company in October 2025. Sir Andrew Haines joined Network Rail in August 2018. During ...

Network attached storage is the most versatile way to store data, but that's just one of the many benefits of buying a NAS device. We've tested the top models: See which will work best for your ...

The lead investors behind North America’s foremost motorsports news and information source RACER announced today that they have acquired MAVTV and will rename the TV network – that’s available on 350 ...

16 suitable variables were selected to construct a Bayesian network model. Results: The area under the curve of the unsegmented-syllabic, monosyllabic, dissyllabic, and multisyllabic training models ...