Results 241 to 250 of about 68,993 (274)

Dopamine in the Nucleus Accumbens Signals Salience of Auditory Deviance. [PDF]

open access: yesEur J Neurosci
Iizuka R   +5 more
europepmc   +1 more source

A partial correlation-based Bayesian network structure learning algorithm under linear SEM

Knowledge-Based Systems, 2011
A new algorithm, the PCB (partial correlation-based) algorithm, is presented for Bayesian network structure learning. The algorithm effectively combines ideas from local learning with partial correlation techniques. It reconstructs the skeleton of a Bayesian network based on partial correlation and then performs a greedy hill-climbing search to orient ...
Jing Yang, Lian Li, Aiguo Wang
openaire   +3 more sources

False‐negative probability in the SEM/EDS automated discovery of iGSR particles: A Bayesian approach

Journal of Forensic Sciences, 2023
AbstractThe automated search software integrated with a scanning electron microscope (SEM/EDS) has been the standard tool for detecting inorganic gunshot residues (iGSR) for several decades. The detection of these particles depends on various factors such as collection, preservation, contamination with organic matter, and the method for sample analysis.
Martín A. Onetto   +2 more
openaire   +3 more sources

Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images

IEEE Transactions on Semiconductor Manufacturing, 2021
Deep 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
openaire   +1 more source

Smart factory technologies and their transformative implications: a Blavaan and Bayesian SEM

Total Quality Management & Business Excellence
Anthony Bagherian, Mukesh Kondala
openaire   +3 more sources

Dyadic Interactions in Service Encounter: Bayesian SEM Approach

2009
Dyadic interactions are an important aspects in service encounters. They may be observed in B2B distribution channels, professional services, buying centers, family decision making or WOM communications. The networks consist of dyadic bonds that form dense but weak ties among the actors.
Adam Sagan, Magdalena Kowalska-Musiał
openaire   +1 more source

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