crutch
发表于 2025-3-28 14:37:03
Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networksn. That makes those methods unreliable, since the hardware environments they used for evaluating the pruned models contain uncertainty and thus the performance values contain noise. To deal with this problem, this paper proposes noise-tolerant hardware-aware pruning, i.e., NT-HP. It uses a populatio
青春期
发表于 2025-3-28 22:32:23
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filial
发表于 2025-3-29 00:14:54
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十字架
发表于 2025-3-29 04:23:14
Research on Location Selection of General Merchandise Store Based on Machine Learningut general merchandise store chains under unprecedented competitive pressure. Therefore, this paper attempts to help companies reduce corporate costs and improve economic efficiency through rational and scientific site selection decisions. Firstly, feature extraction is performed on the point of int
伪造者
发表于 2025-3-29 10:53:57
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Terrace
发表于 2025-3-29 14:07:07
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铁砧
发表于 2025-3-29 15:58:06
Pyrorank: A Novel Nature-Inspired Algorithm to Promote Diversity in Recommender Systemsser-based diversity and mitigate the systemic bias that traditional recommender system models learn from the data. Our experimental results on multiple large datasets indicate that Pyrorank can achieve better user-based diversity metrics than state-of-the-art re-ranking methods, with little decrease
货物
发表于 2025-3-29 20:34:31
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compel
发表于 2025-3-30 03:17:20
Research on Location Selection of General Merchandise Store Based on Machine Learningw that the models obtained by Stacking integration are more effective and stable. Finally, the application case of Hangzhou City shows that the model can judge the reasonableness of alternative addresses or find suitable areas to provide alternative addresses. This study provides a new way of select
Alcove
发表于 2025-3-30 07:03:13
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