| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 517825 | Journal of the American Medical Informatics Association | 2008 | 8 Pages |
Abstract
Using a smaller optimal training set greatly improved learning with naïve Bayes. The performance is superior to a KNN. The small training set can be used with other sophisticated learning methods, such as CMLS, where using the whole training set would not be feasible.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Sunghwan PhD, Won PhD, Donald C. PhD, W. John MD, PhD,