Results 41 to 50 of about 166,638 (162)
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
Complexity, 2018 Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
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A Bayesian Density Model Based Radio Signal Fingerprinting Positioning Method for Enhanced Usability
Sensors, 2018 Indoor navigation and location-based services increasingly show promising marketing prospects. Indoor positioning based on Wi-Fi radio signal has been studied for more than a decade because Wi-Fi, a signal of opportunity without extra cost, is ...
Zheng Li +6 more
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Determination of Maximum Bayesian Entropy Probability Distribution [PDF]
Journal of Sciences, Islamic Republic of Iran, 2005 In this paper, we consider the determination methods of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed.
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Chemical Engineering Transactions, 2016 Process plants are particularly subjected to major accidental events, whose catastrophic escalations, triggered by external factors and characterized by very high impact and low probability, can affect both workers and population in the nearby of a ...
V. Villa, V. Cozzani
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BMC Medical Research Methodology, 2010 Background Automatic variable selection methods are usually discouraged in medical research although we believe they might be valuable for studies where subject matter knowledge is limited.
Steineck Gunnar +3 more
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Fault diagnosis of mine hoist based on fuzzy fault tree and Bayesian network
Gong-kuang zidonghua, 2020 In order to solve problems of low efficiency and poor accuracy of existing mine hoist fault diagnosis methods, a fault diagnosis method of mine hoist based on fuzzy fault tree and Bayesian network was proposed.
ZHANG Mei +3 more
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A Software Tool for Estimating Uncertainty of Bayesian Posterior Probability for Disease
DiagnosticsThe role of medical diagnosis is essential in patient care and healthcare. Established diagnostic practices typically rely on predetermined clinical criteria and numerical thresholds.
Theodora Chatzimichail +1 more
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Citation: 'Bayesian probability' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.14463 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
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Toward Bayesian Classifiers with Accurate Probabilities [PDF]
, 2002 In most data mining applications, accurate ranking and probability estimation are essential. However, many traditional classifiers aim at a high classification accuracy (or low error rate) only, even though they also produce probability estimates. Does high predictive accuracy imply a better ranking and probability estimation?
Charles X. Ling, Huajie Zhang
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BAYESIAN UPDATING OF ATOMIC PROBABILITIES
Economics LettersThe standard conditional probability formula is supposed to reflect the correct updating of probability assignments when new information is incorporated (Bayesian updating). We consider a context whith no preferences on outcomes. Starting from an atomic probability measure and assuming a “minimum requirement” relational assumption or other stronger ...
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