Abstract: Compared with single-label classification, multi-label classification is more general in practice, since it allows one instance to have more than one label simultaneously. Bayes' Theorem has ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

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 ...

A Web Based Spam Classifier built with python (flask) and classification is implemented using naive bayes classifier due to its best accuracy.

Python implementation of a Naïve Bayes classifier with bag-of-word (BOW) features and Add-one smoothing. Experimentation with binary NB.

Abstract: The necessity of classification is highly demanded in real life. As a mathematical classification approach, the Naive Bayes classifier involves a series of probabilistic computations for the ...