Visual Studio Magazine

Multinomial Naive Bayes Classification Using the scikit Library

General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...
IEEE

Multinomial Classification Deep Learning Approach for Knee Osteoporosis

Abstract: Early osteoporosis detection is considered crucial for minimizing health consequences. The primary method for early osteoporosis detection is through bone density testing. However, this is ...
GitHub

tasnimtalha09/introduction-to-naive-bayes-classifiers

The ROC curves show that Multinomial Naive Bayes and Bernoulli Naive Bayes both achieved excellent discrimination ability between spam and ham messages, with AUC scores of 99.066% and 99.128% ...
GitHub

yeokh1002/Bernoulli-and-Multinomial-Naive-Bayes-for-Text-Classification

Text classification is a fundamental problem in natural language processing (NLP) with applications in spam detection, sentiment analysis, and topic categorization. In this project, we focus on ...
Scientific Research Publishing

Multinomial Statistical Modeling for Predictive Detection and Security of Suspicious Transactions in a Digital Wallet ()

1 Laboratoire des Sciences, des Technologies de l’Information et de la Communication (LASTIC), Ecole Supérieure Africaine des Technologie de l’Information et de la Communication (ESATIC), Abidjan, ...
Visual Studio Magazine

Multinomial Naive Bayes Classification Using the scikit Library

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...