To address these issues, this paper proposes a multi-task Bayesian neural network, Bayesian Multiple-Decoder Transformer (BMDeT), which can capture both epistemic and aleatoric uncertainty, and ...

More specifically, we represent network traffic data as a third-order tensor, which better preserves the underlying relationships inside network traffic data. Furthermore, based on tensor ...

python bayesian bayesian-inference stan mcmc bayesian-data-analysis Updated on Sep 11, 2023 Jupyter Notebook ...

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.