IEEE

Improving Naive Bayes by Reducing the Importance of Low-Frequency Words Based on Entropy of Words for Spam Email Classification

Abstract: The Naive Bayes algorithm (NB algorithm) is a popular one for spam email classification due to fast training, using simple techniques and high accuracy. One of many research improving NB ...
GitHub

General and weighted naive Bayes classifiers

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 ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Scientific Research Publishing

A Novel Efficient and Effective Preprocessing Algorithm for Text Classification ()

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...
The Conversation

Artificial intelligence is used for predictive policing in the US and UK – South Africa should embrace it, too

Predictive policing may be a useful addition to traditional policing in contexts like South Africa. Fani Mahuntsi/Gallo Images via Getty Images In the 2002 movie Minority Report (based on a short ...
TechRepublic

Azure Machine Learning vs IBM Watson: Software comparison

See what features you can expect from Azure Machine Learning and IBM Watson to decide which artificial intelligence solution is right for you. With the ability to revolutionize everything from ...