招募
发表于 2025-3-23 10:59:06
Henning M. Beier,Hans R. Lindnerptive Boosting) to evaluate in-class teaching quality. We provide an ensemble scheme for intelligent in-class evaluation that combines the benefits of the two models. We test the current in-class evaluation criteria using classroom datasets for comparison. The outcomes show how great and successful the suggested plan is.
羽饰
发表于 2025-3-23 16:34:23
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来这真柔软
发表于 2025-3-23 18:45:47
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HUMID
发表于 2025-3-24 01:56:22
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咽下
发表于 2025-3-24 05:56:04
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继承人
发表于 2025-3-24 06:59:59
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枯萎将要
发表于 2025-3-24 13:20:19
,A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification, problem. Our model integrates data space improvement, sample selection, sampling strategy, and loss function. To evaluate the performance of our hybrid model, we conduct experiments on several real-world imbalanced datasets. The experimental results prove that our hybrid model is effective.
躲债
发表于 2025-3-24 17:37:55
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gruelling
发表于 2025-3-24 19:29:01
Artificial Neural Networks and Machine Learning – ICANN 2023978-3-031-44207-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
construct
发表于 2025-3-25 00:24:49
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