发怨言
发表于 2025-3-26 21:06:33
Trevor Owenrning anddeep learning in toxicological research. It is a useful guide for toxicologists, chemists, drug discovery and development researchers, regulatory scientists, government reviewers, and graduate students978-3-031-20732-7978-3-031-20730-3Series ISSN 2662-4869 Series E-ISSN 2662-4877
倒转
发表于 2025-3-27 02:16:48
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财产
发表于 2025-3-27 08:49:47
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headlong
发表于 2025-3-27 12:04:31
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circuit
发表于 2025-3-27 13:39:39
Trevor Owenels in the United States of America. In being able to identify and predict social unrest at the county level, programs/applications can be deployed to counteract its adverse effects. This paper attempts to address this task of identifying, understanding, and predicting when social unrest might occur
Parallel
发表于 2025-3-27 20:30:35
Trevor Owen problem and analyze how an objective function of LDA can be interpreted in multi-labeled setting. We also propose a LDA algorithm which is effective in a multi-labeled problem. Experimental results demonstrate that by considering multi-labeled structures LDA can achieve computational efficiency and
胰岛素
发表于 2025-3-28 00:30:58
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吵闹
发表于 2025-3-28 04:21:30
Trevor Owenta. SSCR combines statistically significant association rules with cost-sensitive learning to build an associative classifier. Experimental results show that SSCR achieves best performance in terms of true positive rate and recall on real-world imbalanced datasets, compared with CBA and C4.5.
keloid
发表于 2025-3-28 07:56:45
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Fillet,Filet
发表于 2025-3-28 11:06:01
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