文献
J-GLOBAL ID:202002237094447378
整理番号:20A0269979
多重文脈リカレントニューラルネットワークを用いた学習者の特徴抽出と分類【JST・京大機械翻訳】
Feature extraction and Classification of Learners using Multi-Context Recurrent Neural Networks
著者 (7件):
Tanimoto Yusuke
(Graduate School of Engineering, Hiroshima University,Higashihiroshima,JAPAN)
,
Hayashida Tomohiro
(Graduate School of Engineering, Hiroshima University,Higashihiroshima,JAPAN)
,
Yamamoto Toru
(Graduate School of Engineering, Hiroshima University,Higashihiroshima,JAPAN)
,
Wakitani Shin
(Graduate School of Engineering, Hiroshima University,Higashihiroshima,JAPAN)
,
Kinoshita Takuya
(Graduate School of Engineering, Hiroshima University,Higashihiroshima,JAPAN)
,
Nishizaki Ichiro
(Graduate School of Engineering, Hiroshima University,Higashihiroshima,JAPAN)
,
Sekizaki Shinya
(Graduate School of Engineering, Hiroshima University,Higashihiroshima,JAPAN)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
IWCIA
ページ:
77-82
発行年:
2019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)