We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
Telecommunication systems are built with extensive redundancy and complexity to ensure robustness and quality of service. Such systems requires complex fault identification and man...
Ubiquitous computing and communication environments connect systems and people in unprecedented ways, but also fundamentally challenge the mindset of traditional systems engineeri...
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
—In this paper, we study the resilience of supply networks against disruptions and provide insights to supply chain managers on how to construct a resilient supply network from t...
Kang Zhao, Akhil Kumar, Terry P. Harrison, John Ye...