Results 31 to 40 of about 1,294,144 (288)
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
A current study on developing a method of assessing the risk of thrombo-hemorrhagic complications in pregnant women with a prognostic factor Kulback and Bayes' theorem.
Tatiana Petrovna Bondar +1 more
doaj
Is the observed lowering of intraocular pressure due to treatment?
Objective: Use Bayes′ theorem to estimate the intraocular pressure (IOP) lowering effect of medical treatment initiated for glaucoma and determine if IOP comparisons to the baseline IOP of the same eye is clinically useful.
Ravi Thomas, Kerrie Mengersen
doaj +1 more source
Bayesian inference: more than Bayes’s theorem [PDF]
Bayesian inference gets its name from Bayes’s theorem, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function.
T. Loredo, Robert L. Wolpert
semanticscholar +1 more source
Bayes Theorem and Forward Chaining Method On Expert System for Determine Hypercholesterolemia Drugs
The development of technology capable to imitating the process of human thinking and led to a new branch of computer science named the expert system.
Anna Adi Perbawawati +2 more
semanticscholar +1 more source
Implementing Bayes’ Theorem Method in Expert System to Determine Infant Disease
The infant’s immune system requires parental attention and is recommended to be checked regularly by health professionals. These diseases suffered by infants are Acute Respiratory Infections (ARI), Diarrhea, Acute Pharyngitis, Scabies, and Allergic ...
Virasanty Muslimah
doaj +1 more source
We discuss Bayesian inference for the identification of elastoplastic material parameters. In addition to errors in the stress measurements, which are commonly considered, we furthermore consider errors in the strain measurements.
H. Rappel, L. Beex, L. Noels, S. Bordas
semanticscholar +1 more source
Bayesian Posteriors Without Bayes' Theorem [PDF]
The classical Bayesian posterior arises naturally as the unique solution of several different optimization problems, without the necessity of interpreting data as conditional probabilities and then using Bayes' Theorem.
Dall'Aglio, Marco, Hill, Theodore P.
core +2 more sources
We obtain the input data for Bayes Theorem, and use the theorem to determine the probability of a patient having a lumbar HNP, given only a positive MRI.
David Trafimow, Jordan H. Trafimow
doaj +1 more source

