Halloween 发表于 2025-3-21 16:10:22
书目名称Neural Information Processing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0663569<br><br> <br><br>书目名称Neural Information Processing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0663569<br><br> <br><br>辞职 发表于 2025-3-21 21:16:18
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An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Applicationta collected from the manufacturing system, several instances are created and stored in the data layer. In addition, we present a prototype distributed computing application. The result suggests that the ontology can optimize the management of industrial models and achieve interoperability between models.一个搅动不安 发表于 2025-3-22 08:35:27
From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values with affinity-based MVC methods. This approach circumvents the uncertainties associated with inaccurate imputations, enhancing clustering performance. Comprehensive experiments show that our method outperforms traditional imputation-based techniques, yielding superior clustering results across various levels of missing data.做事过头 发表于 2025-3-22 11:55:58
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1865-0929held in Changsha, China, in November 2023. .The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. .The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in ne精确 发表于 2025-3-22 18:09:08
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Multi-intent Description of Keyword Expansion for Code Searchther expand the query. To evaluate the effectiveness of MDKE-CS in code search tasks, we conducted comparative experimental analyses using two baseline models, DeepCS and UNIF, as well as WordNet and BM25 extension methods. Our experimental results demonstrate that MDKE-CS outperforms the baseline models in terms of R@1, R@5, R@10, and MRR values.figment 发表于 2025-3-23 09:37:49
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