羊齿
发表于 2025-3-23 10:10:20
PCA Based Kernel Initialization for Convolutional Neural Networks,odel training. Finally, a network model was built and experiments were performed using . and . activation functions. The experimental results verify the effectiveness of the proposed method through the distribution of histograms and the curve comparison diagrams of model training.
stratum-corneum
发表于 2025-3-23 15:19:10
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斗争
发表于 2025-3-23 18:12:23
Conference proceedings 2020 and big data. 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..
Malfunction
发表于 2025-3-24 01:08:22
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Protein
发表于 2025-3-24 03:12:20
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262915.jpg
蛤肉
发表于 2025-3-24 08:03:28
https://doi.org/10.1007/978-981-15-7205-0artificial intelligence; association rules; communication channels (information theory); communication
Rinne-Test
发表于 2025-3-24 13:33:09
978-981-15-7204-3Springer Nature Singapore Pte Ltd. 2020
沉默
发表于 2025-3-24 17:13:11
https://doi.org/10.1007/978-3-030-18991-4 the original tasks, by leveraging the knowledge among tasks. The knowledge transfer mainly depends on task relationships. Most of existing multi-task learning methods guide learning processes based on predefined task relationships. However, the associated relationships have not been fully exploited
过份好问
发表于 2025-3-24 22:09:47
The AIDS Pandemic and Human Rightsork failures, or suspicious behavior. There are significant efforts proposed to extract rare itemsets. The RP-growth algorithm outperforms previous methods proposed for generating rare itemsets. However, the performance of the RP-growth degrades on sparse datasets, and it is costly in terms of time
contrast-medium
发表于 2025-3-25 00:29:58
Relevance: Knowledge on Hand and in Handecomposed and viewed as a hierarchy of embedded orgraphs. Performance indicators and controlling factors lists are created based on the orgraphs and technical specifications of an object, thus allowing to systematize sources of influence. Using statistical data archives to train, the neural network