Abstract: Deep-learning-based health prognostics is receiving ever-increasing attention. Most existing methods leverage advanced neural networks for prognostics performance improvement, providing ...

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

TRIMER is a package for building integrated metabolic–regulatory models base on Bayesian network. TRIMER can be used for knockout phenotype prediction and knock flux prediction.

Abstract: Sparse Bayesian learning is a powerful framework for expressing compressed sensing problems in the language of Bayesian inference, but its principal algorithm-the variational relevance ...

A man who disrupted a college classroom to yell slurs and give Nazi salutes learned about the paradox of tolerance the hard way. This week, multiple videos have been circulating showing the saga that ...