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Titlebook: Data Mining and Big Data; 6th International Co Ying Tan,Yuhui Shi,Jun Cai Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 20

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樓主: lutein
51#
發(fā)表于 2025-3-30 12:01:55 | 只看該作者
52#
發(fā)表于 2025-3-30 15:24:56 | 只看該作者
Conference proceedings 2021data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..
53#
發(fā)表于 2025-3-30 16:40:36 | 只看該作者
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發(fā)表于 2025-3-30 22:14:29 | 只看該作者
The Latin American Studies Book Series the high-altitude pedestrian dataset. Next, it uses the Distance Intersection over Union (DIoU) loss function to alleviate the problem of high-altitude pedestrian overlapping. Experimental results show that the proposed YOLOv3-M improves the detection precision and the detection speed compared to YOLOv3.
55#
發(fā)表于 2025-3-31 02:30:19 | 只看該作者
56#
發(fā)表于 2025-3-31 08:17:16 | 只看該作者
1865-0929 ta, DMBD 2021, held in Guangzhou, China, in October 2021.?.The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on?advantages in theories, technologies, and applications in data minin
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發(fā)表于 2025-3-31 11:46:21 | 只看該作者
58#
發(fā)表于 2025-3-31 14:38:37 | 只看該作者
59#
發(fā)表于 2025-3-31 21:09:37 | 只看該作者
The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector,ngineering field. The main contribution of this paper is to use the Rademacher vector method to perform theoretical analysis on the multi-dividing ontology learning algorithm and obtain the error bound estimate for .-statistic criterion. The main proof tricks are to use the skills of statistical learning theory and McDiarmid’s inequality.
60#
發(fā)表于 2025-3-31 22:30:11 | 只看該作者
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