Results 11 to 20 of about 37,630 (219)
The Frequentist Problem of Evil (Based on Wesley Salmon's interpretation) [PDF]
پژوهشنامه فلسفه دین, 2015 The problem of evil is one of the most important topics in philosophy of religion. This article, based on original texts, analyses the frequency interpretation of probabilistic argument from evil and review some of its main critiques. This analysis based
Ghasem Purhasan, Ali Hatamian
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Decision algorithms and flow graphs; a rough set approach
Journal of Telecommunications and Information Technology, 2003 This paper concerns some relationship between Bayes` theorem and rough sets. It is revealed that any decision algorithm satisfies Bayes` theorem, without referring to either prior or posterior probabilities inherently associated with classical Bayesian ...
Zdzisław Pawlak
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Trends in epidemiology in the 21st century: time to adopt Bayesian methods
Cadernos de Saúde Pública, 2014 2013 marked the 250th anniversary of the presentation of Bayes’ theorem by the philosopher Richard Price. Thomas Bayes was a figure little known in his own time, but in the 20th century the theorem that bears his name became widely used in many fields of
Edson Zangiacomi Martinez +1 more
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Wireless Body Area Network (WBAN)-Based Telemedicine for Emergency Care
Sensors, 2020 This paper is a collection of telemedicine techniques used by wireless body area networks (WBANs) for emergency conditions. Furthermore, Bayes’ theorem is proposed for predicting emergency conditions.
Latha R, Vetrivelan P
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R. A. Fisher on Bayes and Bayes' theorem [PDF]
Bayesian Analysis, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Paraconsistent Probabilities: Consistency, Contradictions and Bayes’ Theorem
Entropy, 2016 This paper represents the first steps towards constructing a paraconsistent theory of probability based on the Logics of Formal Inconsistency (LFIs).
Juliana Bueno-Soler, Walter Carnielli
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CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua +4 more
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Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
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On Bayes’s theorem for improper mixtures
The Annals of Statistics, 2011 Although Bayes's theorem demands a prior that is a probability distribution on the parameter space, the calculus associated with Bayes's theorem sometimes generates sensible procedures from improper priors, Pitman's estimator being a good example.
McCullagh, Peter, Han, Han
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COVID-19 and Quantitative Literacy: Focusing on Probability
Numeracy, 2020 The COVID-19 pandemic is arguably the worst crisis the world has faced, so far, in this new century. We haven’t seen a pandemic like this since the 1918 Flu at the beginning of the last century, and, as of this writing, there appears to be no end in ...
Michael Lewis
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