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 ...
IEEE

Novel Fine-Tuned Attribute Weighted Naïve Bayes NLoS Classifier for UWB Positioning

Abstract: In this letter, we propose a novel Fine-Tuned attribute Weighted Naïve Bayes (FT-WNB) classifier to identify the Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) for UltraWide Bandwidth (UWB ...
GitHub

Semiconductor Manufacturing Pass/Fail Prediction using Machine Learning

This project develops a Machine Learning-based classification system to predict whether a semiconductor manufacturing process results in a Pass or Fail outcome. The project focuses on data ...
GitHub

Pranayshukla0610/Gaussian-Naive-Bayes-Classification

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

Tox21 Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Toxicants and Drugs

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a ...
www.cs.cmu.edu

Tom Mitchell

It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...