文献
J-GLOBAL ID:201702227406319495
整理番号:17A1257180
別名法によるbitermトピックモデルのための崩壊したGibbsサンプリングの最適化【Powered by NICT】
Optimize collapsed Gibbs sampling for biterm topic model by alias method
著者 (6件):
He Xingwei
(State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China)
,
Xu Hua
(State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China)
,
Sun Xiaomin
(State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China)
,
Deng Junhui
(State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China)
,
Bai Xiaoli
(Shijiazhuang Preschool Teachers College, Shijiazhuang, 050228, Hebei, China)
,
Li Jia
(State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
IJCNN
ページ:
1155-1162
発行年:
2017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)