Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mingsheng Fu"'
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2107 (2024)
Cross-lingual summarization (CLS) is essential for enhancing global communication by facilitating efficient information exchange across different languages. However, owing to the scarcity of CLS data, recent studies have employed multi-task framework
Externí odkaz:
https://doaj.org/article/c0461b8eb3234063814178119fc3d73a
Autor:
Limin Zhang, Ziying Feng, Yinghua Li, Cuiting Lv, Chunchun Li, Yue Hu, Mingsheng Fu, Liang Song
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
ObjectiveGut microbiota plays an important role in colorectal cancer (CRC) pathogenesis through microbes and their metabolites, while oral pathogens are the major components of CRC-associated microbes. Multiple studies have identified gut and fecal m
Externí odkaz:
https://doaj.org/article/ceaaa4bd69504189bc83ad54dddbfaa8
Publikováno v:
Journal of Immunology Research, Vol 2021 (2021)
Background. The purpose of this study was to explore the role and underlying mechanism of miR-504 and RBM4 in gastric cancer. Methods. The qRT-PCR or Western blot was performed to determine the expressions of miR-504 and RBM4 in the gastric cancer ti
Externí odkaz:
https://doaj.org/article/364fc3bf80ea4963a55f86d13b1b847f
Publikováno v:
IEEE Access, Vol 6, Pp 53381-53396 (2018)
Providing accurate information on people's activities and behaviors plays an important role in innumerable applications, such as medical, security, and entertainment. In recent years, deep learning has been applied in human activity recognition, and
Externí odkaz:
https://doaj.org/article/cc4e6458fe7d46d4a38b8339926c5d8b
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:2049-2061
Publikováno v:
IEEE Transactions on Cybernetics. 52:12028-12041
Deep reinforcement learning (DRL)-based recommender systems have recently come into the limelight due to their ability to optimize long-term user engagement. A significant challenge in DRL-based recommender systems is the large action space required
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:5770-5782
Publikováno v:
IEEE transactions on neural networks and learning systems.
Among various value decomposition-based multiagent reinforcement learning (MARL) algorithms, the overall performance of the multiagent system is represented by a scalar global Q value and optimized by minimizing the temporal difference (TD) error wit
Publikováno v:
IEEE transactions on cybernetics.
Model-free reinforcement learning algorithms based on entropy regularized have achieved good performance in control tasks. Those algorithms consider using the entropy-regularized term for the policy to learn a stochastic policy. This work provides a
Publikováno v:
Expert Systems with Applications. 113:33-43
It is crucial to represent the semantic information of a document in sentiment classification. Various semantic information representation models have been proposed, however existing approaches have their setbacks. Notable weaknesses among these are: