Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

Halloween

書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




書目名稱Neural Information Processing年度引用




書目名稱Neural Information Processing年度引用學(xué)科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學(xué)科排名

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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.

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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.

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1865-0929 held 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

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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.

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