ORE 发表于 2025-3-30 08:47:37
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Artificial Neural Networks and Machine Learning – ICANN 202332nd International Cmonochromatic 发表于 2025-3-30 16:31:24
Lazaros Iliadis,Antonios Papaleonidas,Chrisina JaySPER 发表于 2025-3-31 00:45:22
Elastizitätsgesetz und Festigkeitshypothesenuide the student model to obtain structural knowledge by distilling the relational knowledge between samples from a mini-batch through distance loss. 2RDA achieves excellent results and surpasses the state-of-the-art model compression methods on the GLUE benchmark, demonstrating the effectiveness ofvitreous-humor 发表于 2025-3-31 02:06:47
https://doi.org/10.1007/978-3-658-34187-9tree (WDT). Moreover, a graph convolution network (GCN) then is employed to learn syntactic representations of the WDT. Furthermore, the sentence-level attention and gating selection module are applied to capture the intrinsic interactions between sentence-level and document-level features. We evaluantidepressant 发表于 2025-3-31 07:07:02
https://doi.org/10.1007/978-3-662-40223-8cale receptor aims to merge multi-level feature representations and learn scale and location knowledge. Finally, extensive experiments show that GFFN achieves competitive performance compared to the other mainstream methods in detecting five primary attributes of lettuce growth traits.共同时代 发表于 2025-3-31 11:55:52
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Festigkeitslehre für Wirtschaftsingenieureairness. The ExFS method generally outperforms the compared filter-based feature selection methods in terms of fairness and achieves comparable results to the compared wrapper-based feature selection methods. In addition, our method can provide explanations for the rationale underlying this fairnessPde5-Inhibitors 发表于 2025-4-1 00:37:22
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