Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...

Abstract: Now a day's sentiment analysis is the most used research topic. The sentiment analysis result is based on different investigation for example politics, terrorism, economy, international ...

The probability is calculated by means of Kernel Density Estimation (KDE). The probability for each class does not use all variables, but only those that are relevant for each specific class. From the ...

The belief rule base is crucial in expert systems for intelligent diagnosis of equipment. However, in the belief rule base for fault diagnosis, multiple antecedent attributes are often initially ...

Abstract: Naive Bayes (simply NB) (Langley et al., 1992) has been widely used in machine learning and data mining as a simple and effective classification algorithm. Since its conditional independence ...

In the minutes after a launch detection or nuclear detonation, would America’s nuclear command, control, and communications system enable the president to make a timely and accurate decision to ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...