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Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author(

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樓主: Jejunum
21#
發(fā)表于 2025-3-25 05:25:30 | 只看該作者
22#
發(fā)表于 2025-3-25 08:35:23 | 只看該作者
Collective Bargaining in Labour Law Regimes, we investigate the ability of large language models to predict Chinese overnight stock index movement, utilizing market summary gleaned from news media sources. We fine-tune various pre-trained models to compare the performance with that of Generative Pre-training Transformer (GPT) models, specifi
23#
發(fā)表于 2025-3-25 14:01:23 | 只看該作者
?ukasz Pisarczyk,Dagmara Skupieńes. Various enhancement algorithms employ grouping strategies to bolster performance in large-scale networks. However, as nodes consolidate into smaller clusters, their capacity to accommodate Byzantine nodes diminishes markedly, prompting the need for a systematic approach to distributing Byzantine
24#
發(fā)表于 2025-3-25 19:26:44 | 只看該作者
Collective Bargaining in Labour Law Regimesherefore, transfer learning has been introduced to fault diagnosis of BF. Most of the existing transfer learning methods achieve domain adaptation by reducing the marginal and conditional distribution discrepancies, without considering the prior distribution. To address this issue, this paper provid
25#
發(fā)表于 2025-3-25 21:12:27 | 只看該作者
26#
發(fā)表于 2025-3-26 01:54:36 | 只看該作者
27#
發(fā)表于 2025-3-26 06:31:38 | 只看該作者
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29#
發(fā)表于 2025-3-26 12:43:08 | 只看該作者
Collective Bargaining in Labour Law Regimesng and mitigating of its effects in public spaces and the potential apprehension of aggressors. While several algorithms have been developed for violence detection, their evaluation has primarily focused on controlled scenarios with clear differentiation between violent and non-violent scenes, repre
30#
發(fā)表于 2025-3-26 20:44:05 | 只看該作者
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