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Identifiability and transportability in dynamic causal networks [PDF]
, 2016 In this paper we propose a causal analog to the purely observational Dynamic Bayesian Networks, which we call Dynamic Causal Networks. We provide a sound and complete algorithm for identification of Dynamic Causal Networks, namely, for computing the ...
Arias Vicente, Marta +2 more
core +5 more sources
Research on Unmanned Underwater Vehicle Threat Assessment
IEEE Access, 2019 The unmanned underwater vehicle (UUV) plays an ever increasing and important role in the modern marine environment. In particular, the tasks of underwater reconnaissance and surveillance, underwater mine hunting and anti-submarine warfare, all poses a ...
Hongfei Yao +4 more
doaj +1 more source
Dynamic Network Security Analysis Based on Bayesian Attack Graphs [PDF]
Jisuanji kexue, 2022 In order to overcome the difficulties that current attack graph model cannot reflect real-time network attack events,a method is proposed including a forward risk probability update algorithm and a forward-backward combined risk probability update ...
LI Jia-rui, LING Xiao-bo, LI Chen-xi, LI Zi-mu, YANG Jia-hai, ZHANG Lei, WU Cheng-nan
doaj +1 more source
Dynamic Bayesian networks for meeting structuring [PDF]
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 The paper is about the automatic structuring of multiparty meetings using audio information. We have used a corpus of 53 meetings, recorded using a microphone array and lapel microphones for each participant. The task was to segment meetings into a sequence of meeting actions, or phases.
Dielmann, Alfred, Renals, Steve
openaire +3 more sources
Grid Quality of Service Trustworthiness Evaluation Based on Bayesian Network
IEEE Access, 2020 Quality of Service (QoS) is applied to evaluate the satisfaction level of users using a service and it is a measure and evaluation of the service level of service providers.
Yiling Huang
doaj +1 more source
A DBN-DEVS Extension for Modeling and Simulate Uncertain Systems
Applied Artificial Intelligence, 2021 In this paper, our goal is to propose a new extension to the Discrete Event System (DEVS) formalism, which is based on Dynamic Bayesian Network (DBN), and this extension will be called DBN-DEVS, which allows to modeling and simulate the uncertain ...
Sid Ahmed Mokhtar Mostefaoui +2 more
doaj +1 more source
Towards an Assembly Support System with Dynamic Bayesian Network
Applied Sciences, 2022 Due to the new technological advancements and the adoption of Industry 4.0 concepts, the manufacturing industry is now, more than ever, in a continuous transformation.
Stefan-Alexandru Precup +4 more
doaj +1 more source
Learning from Neighbors about a Changing State [PDF]
, 2020 Agents learn about a changing state using private signals and past actions of neighbors in a network. We characterize equilibrium learning and social influence in this setting.
Dasaratha, Krishna +2 more
core +1 more source
Opinion Dynamics with Bayesian Learning
Complexity, 2020 Bayesian learning is a rational and effective strategy in the opinion dynamic process. In this paper, we theoretically prove that individual Bayesian learning can realize asymptotic learning and we test it by simulations on the Zachary network.
Aili Fang +3 more
doaj +1 more source
Dynamic Bayesian Network-Based Escape Probability Estimation for Coach Fire Accidents
Promet (Zagreb), 2021 Coach emergency escape research is an effective measure to reduce casualties under serious vehicle fire accidents. A novel experiment method employing a wireless transducer was implemented and the head rotation speed, rotation moment and rotation ...
Chenyu Zhou +3 more
doaj +1 more source