Naive Bayes Classification and Crowdsourcing Techniques Publication Trend The graph below shows the total number of publications each year in Naive Bayes Classification and Crowdsourcing Techniques.

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# ...

Jessica Minnier, Ming Yuan, Jun S. Liu, Tianxi Cai, Risk Classification With an Adaptive Naive Bayes Kernel Machine Model, Journal of the American Statistical Association, Vol. 110, No. 509 (March ...

In this paper, the authors propose a hybrid system of SMS classification to detect spam or ham, using Naive Bayes classifier and Apriori algorithm.