Abstract: Topological reconfiguration caused by distributed energy consumption changes the propagation path of fault features rendering localization more difficult. To address this issue, a two-stage ...

Matt Webber is an experienced personal finance writer, researcher, and editor. He has published widely on personal finance, marketing, and the impact of technology on contemporary arts and culture.

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: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...