文献
J-GLOBAL ID:201702277450299657
整理番号:17A0330046
より少ない数訓練事例を用いた余剰量を導入することによるテキスト分類におけるナイーブBayesの性能向上【Powered by NICT】
Enhancing Performance of naieve bayes in text classification by introducing an extra weight using less number of training examples
著者 (5件):
Shathi Shahnaj Parvin
(Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Bangladesh)
,
Delowar Hossain Md.
(Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Bangladesh)
,
Nadim Md.
(Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Bangladesh)
,
Riayadh Sayed Golam Rasul
(Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Bangladesh)
,
Sultana Tangina
(Department of Electronics and Communication Engineering, Hajee Mohammad Danesh Science and Technology University, Bangladesh)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
IWCI
ページ:
142-147
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)