品牌
发表于 2025-3-25 03:47:44
0941-7834 ehind space missions aimed for the next decades. Avoiding particulars, it covers the whole of the electromagnetic spectrum, and touches upon the "new astronomies" becoming possible with gravitational waves and neutrinos.978-3-642-08336-5978-3-662-03685-3Series ISSN 0941-7834 Series E-ISSN 2196-9698
Cholagogue
发表于 2025-3-25 09:58:52
oach based on Contrastive Learning, named CLCDDA. This approach combines the Multiple Kernel Maximum Mean Discrepancy and enhanced contrastive learning to obtain high-quality target domain data with pseudo labels, which is used to improve the performance of the generative model. In addition, contras
空中
发表于 2025-3-25 15:04:29
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香料
发表于 2025-3-25 17:20:30
Pierre Léna,François Lebrun,François Mignardoach based on Contrastive Learning, named CLCDDA. This approach combines the Multiple Kernel Maximum Mean Discrepancy and enhanced contrastive learning to obtain high-quality target domain data with pseudo labels, which is used to improve the performance of the generative model. In addition, contras
步兵
发表于 2025-3-25 23:50:02
Pierre Léna,François Lebrun,François Mignardc skillfully captures the subtle patterns in student-concept interactions by utilizing the synergistic impacts of these techniques, yielding a more nuanced understanding that drives the recommendation process. Extensive experiments conducted on a real-world MOOC dataset show that MMPDRec outperforms
fibula
发表于 2025-3-26 01:48:35
Pierre Léna,François Lebrun,François Mignardoach based on Contrastive Learning, named CLCDDA. This approach combines the Multiple Kernel Maximum Mean Discrepancy and enhanced contrastive learning to obtain high-quality target domain data with pseudo labels, which is used to improve the performance of the generative model. In addition, contras
Oversee
发表于 2025-3-26 04:49:13
Pierre Léna,François Lebrun,François Mignardhat the model achieves an F1 score of 71.11% on the OntoNotes-5.0 Chinese dataset for the CoNLL metric, an improvement of 0.95% compared to the baseline model. On the self-constructed "Tibet News Traffic" dataset, the F1 score reaches 73.62%, an increase of 2.58% compared to the baseline model. Thes
没有贫穷
发表于 2025-3-26 11:05:27
Pierre Léna,François Lebrun,François Mignardcoder in the UIE model, sequence labeling decoder CRF is introduced. Compared with the baseline model, UIE-ERNIE-CRF performs well on the precision rate, recall rate and F1 value. And the ablation experiment shows that introducing the ERNIE and CRF is effective for entity relation extraction of lega
STALE
发表于 2025-3-26 15:39:08
Astronomy and Astrophysics Libraryhttp://image.papertrans.cn/o/image/700356.jpg
扩张
发表于 2025-3-26 17:53:18
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