受强制性开放获取政策约束的文章 - Liangda Fang了解详情
无法在其他位置公开访问的文章:6 篇
Reweighted price relative tracking system for automatic portfolio optimization
ZR Lai, PY Yang, L Fang, X Wu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4349-4361, 2018
强制性开放获取政策: 国家自然科学基金委员会
Trend representation based log-density regularization system for portfolio optimization
PY Yang, ZR Lai, X Wu, L Fang
Pattern Recognition 76, 14-24, 2018
强制性开放获取政策: 国家自然科学基金委员会
A kernel-based trend pattern tracking system for portfolio optimization
ZR Lai, PY Yang, X Wu, L Fang
Data Mining and Knowledge Discovery 32 (6), 1708-1734, 2018
强制性开放获取政策: 国家自然科学基金委员会
Multitrend conditional value at risk for portfolio optimization
ZR Lai, C Li, X Wu, Q Guan, L Fang
IEEE Transactions on Neural Networks and Learning Systems 35 (2), 1545-1558, 2022
强制性开放获取政策: 国家自然科学基金委员会
Study of RSSI accuracy for outdoor sensor localization
Q Dong, J Xia, F Zhu, ZR Lai, Y Cai, L Fang, M Lu
Journal of Circuits, Systems and Computers 31 (06), 2250115, 2022
强制性开放获取政策: 国家自然科学基金委员会
Tagged Sentential Decision Diagrams: Combining Standard and Zero-suppressed Compression and Trimming Rules
L Fang, B Fang, H Wan, Z Zheng, L Chang, Q Yu
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019
强制性开放获取政策: 国家自然科学基金委员会
可在其他位置公开访问的文章:19 篇
Short-term sparse portfolio optimization based on alternating direction method of multipliers
ZR Lai, PY Yang, L Fang, X Wu
Journal of Machine Learning Research 19 (63), 1-28, 2018
强制性开放获取政策: 国家自然科学基金委员会
Molecular substructure graph attention network for molecular property identification in drug discovery
X Ye, Q Guan, W Luo, L Fang, ZR Lai, J Wang
Pattern Recognition 128, 108659, 2022
强制性开放获取政策: 国家自然科学基金委员会
Loss control with rank-one covariance estimate for short-term portfolio optimization
ZR Lai, L Tan, X Wu, L Fang
Journal of Machine Learning Research 21 (97), 1-37, 2020
强制性开放获取政策: 国家自然科学基金委员会
A complete epistemic planner without the epistemic closed world assumption
H Wan, R Yang, L Fang, Y Liu, H Xu
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
强制性开放获取政策: 国家自然科学基金委员会
Forgetting in multi-agent modal logics
L Fang, Y Liu, H Van Ditmarsch
Artificial Intelligence 266, 51-80, 2019
强制性开放获取政策: 国家自然科学基金委员会
Knowledge tracing model with learning and forgetting behavior
M Chen, Q Guan, Y He, Z He, L Fang, W Luo
Proceedings of the 31st ACM International Conference on Information …, 2022
强制性开放获取政策: 国家自然科学基金委员会
Cognitive diagnosis focusing on knowledge concepts
S Li, Q Guan, L Fang, F Xiao, Z He, Y He, W Luo
Proceedings of the 31st ACM International Conference on Information …, 2022
强制性开放获取政策: 国家自然科学基金委员会
On the progression of knowledge and belief for nondeterministic actions in the situation calculus
L Fang, Y Liu, X Wen
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
强制性开放获取政策: 国家自然科学基金委员会
Kg4ex: An explainable knowledge graph-based approach for exercise recommendation
Q Guan, F Xiao, X Cheng, L Fang, Z Chen, G Chen, W Luo
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策: 国家自然科学基金委员会
Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers.
K Wu, L Fang, L Xiong, ZR Lai, Y Qiao, K Chen, F Rong
IJCAI, 1703-1711, 2020
强制性开放获取政策: 国家自然科学基金委员会
Disjunctive normal form for multi-agent modal logics based on logical separability
L Fang, K Wang, Z Wang, X Wen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2817-2826, 2019
强制性开放获取政策: Australian Research Council, 国家自然科学基金委员会
Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting–Application to Belief Update and Conservative Extension
L Fang, H Wan, X Liu, B Fang, Z Lai
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
强制性开放获取政策: 国家自然科学基金委员会
Generalized Linear Integer Numeric Planning
X Lin, Q Chen, L Fang, Q Guan, W Luo, K Su
Proceedings of the International Conference on Automated Planning and …, 2022
强制性开放获取政策: 国家自然科学基金委员会
Bi-Kronecker functional decision diagrams: A novel canonical representation of Boolean functions
X Huang, K Fang, L Fang, Q Chen, ZR Lai, L Wei
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2867-2875, 2019
强制性开放获取政策: 国家自然科学基金委员会
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