Abstract: The mid-of 2018 until the mid-of 2019 has been densely marked with political agendas in Indonesia. This moment has created vulnerability to spread hate speech with political motive which is ...

Get a simple explanation of Bayes’ Theorem that anyone can understand, even with no advanced math background. This video breaks the idea down using clear examples and intuitive reasoning to show how ...

PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM ...

ABSTRACT: In recent years, several statistical finite mixture models have been proposed to model the lifetime data with heterogeneity. The Lindley distribution has been highlighted by many authors for ...

Abstract: In this paper we present a simple formulation of the Generalized Bayes' Theorem (GBT) which extends Bayes' theorem in the framework of belief functions. We also present the condition under ...

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

The Naive Bayesian classifier is based on Bayes’ theorem with independence assumptions between predictors. A Naive Bayesian model is easy to build, with no complicated iterative parameter estimation ...