Frontiers

Medical pattern classification using a novel binary similarity approach based on an associative classifier

Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning ...
Scientific Research Publishing

Vembandasamy, K., Sasipriya, R. and Deepa, E. (2015) Heart Diseases Detection Using Naive Bayes Algorithm.

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
Scientific Research Publishing

McCallum, A. and Nigam, K. (1998) A Comparison of Event Models for Naive Bayes Text Classification. Technical Report CMU-CS-98-137, Carnegie Mellon University.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Psychology Today

AI Predicts Active Brain Cell Types With High Accuracy

A major neuroscience breakthrough has been achieved with the help of an artificial intelligence (AI) deep learning algorithm. In a study published this month in Cell, a multinational team of ...
IEEE

Decision Tree Learning Algorithm and Naïve Bayes Classifier Algorithm Comparative Classification for Mango Pulp Weevil Mating Activity

Abstract: Mango pulp weevil (MPW) behavior has been long studied but frequency characterization of the said pest in different adult activities was not yet explored. This study focused on the ...
IEEE

A Novel Text Classification Algorithm Based on Naïve Bayes and KL-Divergence

Abstract: The Naive Bayes classifier is a popular machine learning method for text classification because it is fast and easy to implement and performs well. Its severe assumption that each feature ...