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发表于 2025-3-21 17:02:46
书目名称Agents and Artificial Intelligence影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0151217<br><br> <br><br>书目名称Agents and Artificial Intelligence读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0151217<br><br> <br><br>
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发表于 2025-3-21 23:31:21
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发表于 2025-3-22 00:57:32
Using Generic Ontologies to Infer the Geographic Focus of Textw that GeoMantis performs better than these two systems when the comparison is made on news stories whose target country is either not explicitly mentioned, or has been artificially obscured, in the story text.
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发表于 2025-3-22 08:10:43
Smart Device Stealing and CANDIES Our evaluations show that the presented methods are highly successful with a theft detection rate of over 85% for the trained set of persons. Comparing the experiments with state of the art techniques support the strong practicality of our approach.
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发表于 2025-3-22 11:39:41
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发表于 2025-3-22 16:28:05
Scalable Collaborative Filtering Based on Splitting-Merging Clustering Algorithmoids, which lead to inaccurate recommendations and increase computation time. In this paper, we will show by comparing with .-means based approaches how a clustering algorithm called .-means+ that considers the statistical nature of data can improve the performances of recommendation with reasonable
intimate
发表于 2025-3-22 20:46:42
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Ebct207
发表于 2025-3-22 23:17:08
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Nomadic
发表于 2025-3-23 02:25:40
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TEM
发表于 2025-3-23 08:19:26
https://doi.org/10.1007/978-3-319-15859-4t only the general performance, i.e., the average rate of valid explanations but also how the validation rate changes over time using a number of time steps for this comparison. We also show for which search pattern type which methods perform better.