Results 11 to 20 of about 131,402 (244)
Bayes' theorem, COVID19, and screening tests. [PDF]
Chan GM.
europepmc +2 more sources
Decision algorithms and flow graphs; a rough set approach
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
doaj +1 more source
Bayes' theorem and quantum retrodiction [PDF]
We derive on the basis of Bayes' theorem a simple but general expression for the retrodicted premeasurement state associated with the result of any measurement.
Barnett, S.M., Jeffers, J., Pegg, D.T.
core +2 more sources
Kolmogorov's axioms for probabilities with values in hyperbolic numbers [PDF]
We introduce the notion of a probabilistic measure which takes values in hyperbolic numbers and which satisfies the system of axioms generalizing directly Kolmogorov's system of axioms.
Alpay, Daniel +2 more
core +3 more sources
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem [PDF]
This paper studies the multiplicity-correction effect of standard Bayesian variable-selection priors in linear regression. Our first goal is to clarify when, and how, multiplicity correction happens automatically in Bayesian analysis, and to distinguish ...
Berger, James O., Scott, James G.
core +2 more sources
Wireless Body Area Network (WBAN)-Based Telemedicine for Emergency Care
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
doaj +1 more source
Trends in epidemiology in the 21st century: time to adopt Bayesian methods
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
doaj +1 more source
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
wiley +1 more source
Background Despite international clinical guideline recommendations, implementation of Bayes-theorem based preeclampsia risk prediction model in first trimester among Chinese women is limited. The aim of this study is to examine the effectiveness of this
Qiongjie Zhou +3 more
doaj +1 more source
Trigonometric words ranking model for spam message classification
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
wiley +1 more source

