Results 61 to 70 of about 1,283,110 (252)

Bayes' theorem-based binary algorithm for fast reference-less calibration of a multimode fiber.

open access: yesOptics Express, 2018
In this paper, we present a Bayes' theorem-based high-speed algorithm, to measure the binary transmission matrix of a multimode fiber using a digital micromirror device, in a reference-less multimode fiber imaging system. Based on conditional probability,
Tianrui Zhao   +4 more
semanticscholar   +1 more source

STEM-Based Bayesian Computational Learning Model-BCLM for Effective Learning of Bayesian Statistics

open access: yesIEEE Access
This work contributes to the comprehension of Bayes’ theorem inclusive Bayesian probabilities and Bayesian inferencing within the framework of STEM (Science, Technology, Engineering, Arts, and Mathematics) and cognitive learning w.r.t Bloom’
Ikram E. Khuda   +2 more
doaj   +1 more source

Probability of sporadic lymphangioleiomyomatosis in women presenting with spontaneous pneumothorax

open access: yesOrphanet Journal of Rare Diseases, 2023
Background Sporadic lymphangioleiomyomatosis (S-LAM) is a rare low-grade neoplasm of young women characterized by multiple pulmonary cysts leading to progressive dyspnea and recurrent spontaneous pneumothorax (SP).
Audrey Suter   +4 more
doaj   +1 more source

A New Probabilistic "Paradox" Involving the Bayes Theorem [PDF]

open access: yesScientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș, 2015
In this paper we present a new probabilistic “paradox” involving the Bayes theorem. The resolution of the paradox is elementary, but it has some subtly features due to the fine tuning of the integer values used in order to develop the working mechanism ...
Alexandru HORVÁTH
doaj  

R. A. Fisher on Bayes and Bayes' theorem

open access: yesBayesian Analysis, 2008
Ronald Fisher believed that \The theory of inverse probability is founded upon an error, and must be wholly rejected." This note describes how Fisher divided responsibility for the error between Bayes and Laplace. Bayes he admired for formulating the problem, producing a solution and then withholding it; Laplace he blamed for promulgating the theory ...
openaire   +5 more sources

COMPARISON OF K-NN AND NAÏVE BAYES CLASSIFIER FOR ASPHYXIA FACTOR [PDF]

open access: yes, 2018
Asphyxia is influenced by several factors, including the factors affecting the Immediate Was maternal factors That relates Conditions mother Pregnancy and childbirth such as hypoxia mother, Asphyxia factor data can be modeled using the classification ...
Finki Dona Marleny, Mambang
core   +2 more sources

Interpretation of Evidence: The Key to Conveying Information to Court

open access: yesArab Journal of Forensic Sciences & Forensic Medicine, 2019
The advent of new technologies such as DNA typing, the weight of scientific evidence in criminal trials of widespread publicity, and the proliferation of fictional and non-fictional works in popular media have contributed to making forensic science well ...
Marta Da Pian   +2 more
doaj   +1 more source

DIAGNOSING PESTS AND DISEASES ON PINEAPPLE USING THE BAYES THEOREM

open access: yesRussian Journal of Agricultural and Socio-Economic Sciences, 2023
Pineapple plants grow in tropical climates and have long been cultivated. Pineapple plants can be harvested 18-24 months after planting. Pineapple contains vitamins A and C and calcium, phosphorus, magnesium, iron, sodium, potassium, dextrose, sucrose ...
Wahyuni M.S., Marbun B.P.T., Riansah W.
doaj   +1 more source

Natural Gradient Variational Bayes without Fisher Matrix Analytic Calculation and Its Inversion [PDF]

open access: yesarXiv, 2023
This paper introduces a method for efficiently approximating the inverse of the Fisher information matrix, a crucial step in achieving effective variational Bayes inference. A notable aspect of our approach is the avoidance of analytically computing the Fisher information matrix and its explicit inversion.
arxiv  

Identification Types Of Student Learning Modalities In Physics Subjects With Expert Systems Using Bayes Theorem Method [PDF]

open access: yes, 2023
Learning modality is a person's way of absorbing and processing information effectively and efficiently. This study aims to determine the results of the identification types of student learning modalities in physics subjects with an expert system using ...
Miraswan, Kanda Januar   +2 more
core   +1 more source

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