ALIEN 发表于 2025-3-25 05:25:30

http://reply.papertrans.cn/27/2630/262917/262917_21.png

欺骗世家 发表于 2025-3-25 08:35:23

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

Pulmonary-Veins 发表于 2025-3-25 14:01:23

Łukasz 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

故意钓到白杨 发表于 2025-3-25 19:26:44

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

衰老 发表于 2025-3-25 21:12:27

http://reply.papertrans.cn/27/2630/262917/262917_25.png

GROWL 发表于 2025-3-26 01:54:36

http://reply.papertrans.cn/27/2630/262917/262917_26.png

欺骗世家 发表于 2025-3-26 06:31:38

http://reply.papertrans.cn/27/2630/262917/262917_27.png

无价值 发表于 2025-3-26 10:11:21

http://reply.papertrans.cn/27/2630/262917/262917_28.png

铺子 发表于 2025-3-26 12:43:08

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

magnate 发表于 2025-3-26 20:44:05

http://reply.papertrans.cn/27/2630/262917/262917_30.png
页: 1 2 [3] 4 5 6 7
查看完整版本: Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author(