Results 11 to 20 of about 2,084,487 (290)
Non-parametric data-driven background modelling using conditional probabilities
Journal of High Energy Physics, 2022 Background modelling is one of the main challenges in particle physics data analysis. Commonly employed strategies include the use of simulated events of the background processes, and the fitting of parametric background models to the observed data ...
Andrew Chisholm +5 more
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Envelopes of conditional probabilities extending a strategy and a prior probability [PDF]
International Journal of Approximate Reasoning, 2016 Any assessment formed by a strategy and a prior probability is a coherent conditional probability and can be extended, generally not in a unique way, to a full conditional probability.
Davide Petturiti, B. Vantaggi
semanticscholar +1 more source
BMC Medical Education, 2023 Background Many physicians do not know how to accurately interpret test results using Bayes’ rule. As a remedy, two kinds of interventions have been shown effective: boosting insight and boosting agency with natural frequencies.
Markus A. Feufel +3 more
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Quantifying conditional probabilities of fish-turbine encounters and impacts
Frontiers in Marine Science, 2023 Tidal turbines are one source of marine renewable energy but development of tidal power is hampered by uncertainties in fish-turbine interaction impacts.
Jezella I. Peraza, John K. Horne
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IET Image Processing, 2023 In this paper, a novel conditional focus probability learning model, termed MCNN, is proposed for multi‐focus image fusion (MFIF). Given a pair of source images, their conditional focus probabilities can be generated by using the well‐trained MCNN, which
Chengchao Wang +4 more
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A novel fuzzy Bayesian network-based approach for solving the project time-cost-quality trade-off problem [PDF]
AUT Journal of Modeling and Simulation, 2022 To successfully complete projects, it is essential to meet all the goals of the criteria that affect the project, such as time, cost, and quality. The time-cost-quality trade-off (TCQT) approach is considered a practical technique when project managers ...
Mohammadhossein Haghighi +2 more
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Multiconditional probabilities
Lietuvos Matematikos Rinkinys, 2021 We introduce a generalization of (Kolmogorovian) conditional probabilities.
Remigijus Petras Gylys
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Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks [PDF]
Interspeech, 2013 In hybrid hidden Markov model/artificial neural networks (HMM/ANN) automatic speech recognition (ASR) system, the phoneme class conditional probabilities are estimated by first extracting acoustic features from the speech signal based on prior knowledge ...
Dimitri Palaz +2 more
semanticscholar +1 more source
Tail conditional probabilities to predict academic performance
4 open, 2019 In this paper, we estimate tail conditional probabilities by incorporating copula models and adopting a Bayesian estimation process for the copula’s parameter.
González-López Verónica Andrea +2 more
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Subjunctive Conditional Probability [PDF]
Journal of Philosophical Logic, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources