We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Abstract: Bearings play a crucial role in aero-engine functionality, and precise evaluation of their condition is imperative for enhancing aircraft engine performance, safety and reliability.

Abstract: Convolutional transform learning (CTL) is a combination of convolutional neural networks and transform learning, which learns convolutional kernels by minimizing loss functions in an ...