Name
Abstract | ||
|---|---|---|
Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes' probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification and disease prediction. In this article, we will look at the main concepts of naive Bayes classification in the context of document categorization. |
Year | Venue | Field |
|---|---|---|
2014 | CoRR | Document classification,Categorization,Naive Bayes classifier,Computer science,Bayesian programming,Artificial intelligence,Machine learning,Bayes classifier,Bayes' theorem |
DocType | Volume | Citations |
Journal | abs/1410.5329 | 3 |
PageRank | References | Authors |
0.50 | 1 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Raschka | 1 | 27 | 5.11 |