Frontiers

Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand RandomGaussianNB is an open-source R package implementing the ...
The New York Times

A Steamy Campus Novel Rife With Infidelity

In Emily Adrian’s “Seduction Theory,” two married creative writing professors have parallel affairs, with very different outcomes. By Hannah Pittard Hannah Pittard is the author, most recently, of the ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...
GitHub

Getting Started with Naive Bayes Algorithm in ML

Naive Bayes is a probabilistic machine learning algorithm that can be used to solve a wide range of classification problems. Typical applications include spam filtering, document classification, ...
IEEE

Machine Learning Approach for Automatic Solar Panel Direction by using Naïve Bayes Algorithm

Abstract: The upsurge in fuel prices are pointing out the fact that, the deficiency of conventional form of natural resources and building dams can never fulfill the demand of the growing population ...
GitHub

naive-bayes-classifier

A Machine Learning based system to detect semantics in the form of semantic label and suggest optimized alternatives for Python and C++ function-based code snippet.Semantic Detection is language ...
IEEE

Hardware Acceleration on Gaussian Naive Bayes Machine Learning Algorithm

Abstract: Naive Bayes is one of the most effective and efficient classification algorithms and its classifiers still tend to perform very well under unrealistic assumptions. Especially for small ...