自治 发表于 2025-3-21 17:10:15
书目名称Advanced Computational Methods for Knowledge Engineering影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0145334<br><br> <br><br>书目名称Advanced Computational Methods for Knowledge Engineering读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0145334<br><br> <br><br>Geyser 发表于 2025-3-21 23:42:52
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Zur Grundlage des Formens mit Sandslingern, DC (Difference of Convex functions) programs for which DC programming and DC Algorithms (DCA) are investigated. The preliminary numerical experiments on real-world datasets show the efficiency and the superiority of our methods versus one of the best standard algorithms on booth feature selection and classification.碎片 发表于 2025-3-22 09:44:11
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https://doi.org/10.1007/978-3-662-26643-4lving this problem, we propose a column generation approach, where the label correcting method is used to treat the sub-problem. The efficiency of our approach is evaluated by comparing with solution given by CPLEX on different scenarios.DEMN 发表于 2025-3-22 21:27:41
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https://doi.org/10.1007/978-3-662-29324-9nd computing for determining the relative density of sands using CPT data. It helps us to reach unknown reality through . measures and ‘true-false’ analysis using the meta-concept, “.”, rather than approximation of the known reality through degrees of truth and ‘degree of truth’ analysis.鄙视 发表于 2025-3-23 06:28:41
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