| [1] |
邱锡朋 . 神经网络与深度学习[M]. 北京: 机械工业出版社, 2020.
|
|
QIU X P . Neural networks and deep learning[M]. Beijing: China Machine Press, 2020.
|
| [2] |
SETTLES B . Active learning literature survey[R]. Madison:University of Wisconsin–Madison, 2010.
|
| [3] |
JIANG H , GUPTA M . Minimum-margin active learning[J]. arXiv preprint,2019,arXiv:1906.00025.
|
| [4] |
BATTAGLIA P W , HAMRICK J B , BAPST V ,et al. Relational inductive biases,deep learning,and graph networks[J]. arXiv preprint,2018,arXiv:1806.01261.
|
| [5] |
GERS F A , SCHMIDHUBER J , CUMMINS F . Learning to forget:continual prediction with LSTM[J]. Neural Computation, 2000,12(10): 2451-2471.
|
| [6] |
陈鑫, 吴佳宇, 吴雪 ,等. 社区疫情排查的智能优化调度方法[J]. 智能科学与技术学报, 2020,2(2): 126-134.
|
|
CHEN X , WU J Y , WU X ,et al. An intelligent optimization scheduling method for community patrolling and investigation in epidemic situations[J]. Chinese Journal of Intelligent Science and Technology, 2020,2(2): 126-134.
|
| [7] |
李刚, 郑佳, 尹华山 ,等. 大数据技术在疫情精准防控中的应用[J]. 大数据, 2021,7(1): 124-134.
|
|
LI G , ZHENG J , YIN H S ,et al. Application of big data technology in precise prevention and control of epidemic situation[J]. Big Data Research, 2021,7(1): 124-134.
|
| [8] |
高尚省, 郭勇, 高智伟 ,等. 广东省数字政府网络安全评估体系与实践[J]. 大数据, 2021,7(2): 182-188.
|
|
GAO S S , GUO Y , GAO Z W ,et al. Practice of digital government network security index evaluation system in Guangdong Province[J]. Big Data Research, 2021,7(2): 182-188.
|
| [9] |
马亮, 杨妹, 艾川 ,等. 基于ACP方法的新型冠状病毒肺炎疫情管控措施效果评估[J]. 智能科学与技术学报, 2020,2(1): 88-98.
|
|
MA L , YANG M , AI C ,et al. The evaluation of the control measures for COVID-19 based on ACP approach[J]. Chinese Journal of Intelligent Science and Technology, 2020,2(1): 88-98.
|
