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A hierarchical generalised Bayesian SEM to assess quality of democracy in Europe
METRON, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fontanella, Lara +3 more
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Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images
IEEE Transactions on Semiconductor Manufacturing, 2021Deep Learning approaches have revolutionized in the past decade the field of Computer Vision and, as a consequence, they are having a major impact in Industry 4.0 applications like automatic defect classification. Nevertheless, additional data, beside the image/video itself, is typically never exploited in a defect classification module: this aspect ...
Arena S. +8 more
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Corrigendum to: Bayesian evaluation of informative hypotheses in SEM using Mplus
European Journal of Developmental Psychology, 2014This paper corrects: van de Schoot, R., Verhoeven, M., & Hoijtink, H. (2013). Bayesian evaluation ofinformative hypotheses in SEM using Mplus: A black bear story. EuropeanJournal of Developmental Psychology, 10, 81 –98.
van de Schoot, R. +2 more
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A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM
2011A new algorithm, PCB (Partial Correlation-Based) algorithm, is presented for Bayesian network structure learning. The algorithm combines ideas from local learning with partial correlation techniques in an effective way. It reconstructs the skeleton of a Bayesian network based on partial correlation and then performs greedy hill-climbing search to ...
Jing Yang 0008, Lian Li 0001
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Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002
The pyramidal image decomposition consists of a succession of filtering and undersampling giving little smoothed images. Details are removed allowing a better classification at each level of the pyramid. The SEM, a stochastic version of the EM algorithm, has been chosen for that.
M. Barbas, J.-M. Boucher
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The pyramidal image decomposition consists of a succession of filtering and undersampling giving little smoothed images. Details are removed allowing a better classification at each level of the pyramid. The SEM, a stochastic version of the EM algorithm, has been chosen for that.
M. Barbas, J.-M. Boucher
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Web Based Application Maintenance Cost Estimation Modeling Using Bayesian SEM
Advanced Materials Research, 2011The objectives of this research were to find out the Structural equation modeling coefficient and other parameter estimation under unknown prior distribution and compare this new model’s coefficient accuracy with the former model on “Web based application maintenance cost estimation multi group modeling” [16].
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Risk perception and trust mechanisms in AIGC technologies: evidence from a Bayesian SEM analysis
The Electronic LibraryPurpose This study aims to explore the mechanisms underlying public risk perception and trust in artificial intelligence-generated content (AIGC) technologies. It seeks to clarify how these factors influence behavioral intention and risk prevention sensitivity, thereby informing responsible governance of ...
Manman Wei +3 more
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2006
Discovering gene relationship from gene expression data is a hot topic in the post-genomic era. In recent years, Bayesian network has become a popular method to reconstruct the gene regulatory network due to the statistical nature. However, it is not suitable for analyzing the time-series data and cannot deal with cycles in the gene regulatory network.
Yu Zhang +3 more
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Discovering gene relationship from gene expression data is a hot topic in the post-genomic era. In recent years, Bayesian network has become a popular method to reconstruct the gene regulatory network due to the statistical nature. However, it is not suitable for analyzing the time-series data and cannot deal with cycles in the gene regulatory network.
Yu Zhang +3 more
openaire +1 more source
Approximate measurement invariance: Bayesian SEM and alignment optimization
2021openaire +1 more source

