ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
A hybrid ensemble classifier which combines the entropy based naive Bayes (ENB) classifier strategy and k-nearest neighbor (k-NN) is examined.The classifiers are joined in light of the fact that naive Bayes gives prior estimations taking into account entropy while k-NN gives neighborhood estimate to...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2016
|
| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/19522/ http://doi.org/10.1063/1.4960933 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|