Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Qika Lin"'
Publikováno v:
IEEE Access, Vol 7, Pp 170213-170225 (2019)
Collective intelligence (CI) refers to the intelligence that emerges at the macro-level of a collection and transcends that of the individuals. CI is a continuously popular research topic that is studied by researchers in different areas, such as soc
Externí odkaz:
https://doaj.org/article/66c836b4a0264362b915a3b72a98e879
Publikováno v:
IEEE Access, Vol 6, Pp 58990-59000 (2018)
The current existing data in online music service platforms are heterogeneous, extensive, and disorganized. Finding an effective method to use these data in recommending appropriate music to users during a short-term session is a significant challeng
Externí odkaz:
https://doaj.org/article/8971fcb1a9384a908256967c7a9d0e30
Autor:
Zhendong Niu, Hao Lu, Yifan Zhu, Kaize Shi, Donglei Liu, Shanshan Wan, Qika Lin, James Chambua
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:4178-4189
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:3563-3574
Publikováno v:
Information Fusion. 91:515-528
Publikováno v:
Information Fusion. 90:253-264
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:3737-3755
The widespread communication of academic ideas and research achievements through literature and media has generated massive academic big data. Analyzing such academic big data and discovering knowledge can discover comprehensive and predictive academ
Publikováno v:
Information Sciences. 575:66-79
Knowledge graph (KG) reasoning aims to infer missing valid triples from observed triples, thereby improving the semantics of the whole KG. The general KG reasoning involves rule-based and embedding-based methods. The former can provide an interpretab
Autor:
Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang
Publikováno v:
Pattern Recognition. 140:109588
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Machine reading comprehension has aroused wide concerns, since it explores the potential of model for text understanding. To further equip the machine with the reasoning capability, the challenging task of logical reasoning is proposed. Previous work