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 ...

Naive Bayes classification remains a cornerstone of machine learning, renowned for its simplicity, efficiency, and interpretability.

We explore a Bayesian framework for constructing combinations of classifier outputs, as a means to improving overall classification results. We propose a sequential Bayesian framework to estimate the ...

Awareness of students’ learning status, and maintaining students’ focus and attention during class are important issues in classroom management. Several observation instruments have been designed for ...