A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition [PDF]
, 2014 This article provides a unifying Bayesian network view on various approaches for acoustic model adaptation, missing feature, and uncertainty decoding that are well-known in the literature of robust automatic speech recognition.
Huemmer, Christian +3 more
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Hybrid Optimization Algorithm for Bayesian Network Structure Learning
Information, 2019 Since the beginning of the 21st century, research on artificial intelligence has made great progress. Bayesian networks have gradually become one of the hotspots and important achievements in artificial intelligence research.
Xingping Sun +5 more
doaj +1 more source
Exact Inference Techniques for the Analysis of Bayesian Attack Graphs [PDF]
, 2016 Attack graphs are a powerful tool for security risk assessment by analysing network vulnerabilities and the paths attackers can use to compromise network resources.
Barrère, Martín +3 more
core +2 more sources
Grid Fault Diagnosis Based on Information Entropy and Multi-source Information Fusion [PDF]
International Journal of Electronics and Telecommunications, 2021 In order to solve the problem of misjudgment caused by the traditional power grid fault diagnosis methods, a new fusion diagnosis method is proposed based on the theory of multisource information fusion.
Xin Zeng +2 more
doaj +1 more source
The Scientific World Journal, 2014 A large number of data is needed by the computation of the objective Bayesian network, but the data is hard to get in actual computation. The calculation method of Bayesian network was improved in this paper, and the fuzzy-precise Bayesian network was ...
Jiali Wang, Qingnian Zhang, Wenfeng Ji
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A hybrid algorithm for Bayesian network structure learning with application to multi-label learning [PDF]
, 2014 We present a novel hybrid algorithm for Bayesian network structure learning, called H2PC. It first reconstructs the skeleton of a Bayesian network and then performs a Bayesian-scoring greedy hill-climbing search to orient the edges.
Aussem, Alex +2 more
core +6 more sources
Discrete Dynamics in Nature and Society, 2014 This paper presents a Bayesian network model for estimating origin-destination matrices. Most existing Bayesian methods adopt prior OD matrixes, which are always troublesome to be obtained.
Lin Cheng +3 more
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Performance optimization scheme of turboshaft aeroengine based on Bayesian network
Xibei Gongye Daxue Xuebao, 2021 The turboshaft aeroengine is mainly used in helicopters. As a power device that drives the rotor to generate lift and propulsion, it has been rapidly developed in recent years. The manufacturing process of turboshaft aeroengine is complex, and there is a
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Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images
Remote Sensing, 2021 In recent years, numerous deep learning techniques have been proposed to tackle the semantic segmentation of aerial and satellite images, increase trust in the leaderboards of main scientific contests and represent the current state-of-the-art ...
Clément Dechesne +2 more
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Assessing Sustainability Development Indicators Impacts on Environmental Performance Index and Agri-Economic Indicators in EU and ME countries : A Bayesian Network Based Model [PDF]
Environmental Resources Research, 2022 Agricultural sector has a key role in relation to poverty reduction and improving food security.One of important challenges in the agriculture sector is to feed population that is increasing in the world. Agriculture has significant positive and negative
somayeh naghavi +2 more
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