Due to the development of big data technology, traditional machine learning algorithms are difficult to deal with massive data. To solve this problem, a naive Bayesian classifier based on parallel ...

This study presents a specific technique to enhance the classifier’s generalization in classification when the training data includes outliers. The proposed approach utilizes a new Bayesian classifier ...

Gaussian naive Bayes classification is a classical machine learning technique that can be used to predict a discrete value when the predictor variables are all numeric. For example, you might want to ...

Naive Bayes classification is especially well suited to problems where the predictor variables are all categorical (strings). And, compared to neural network classifiers, naive Bayes classifications ...

Naive Bayes classifiers (NBC) have dominated the field of taxonomic classification of amplicon sequences for over a decade. Apart from having runtime requirements that allow them to be trained and ...