Withdrawal
发表于 2025-3-21 17:21:31
书目名称Artificial Intelligence影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0162070<br><br> <br><br>书目名称Artificial Intelligence读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0162070<br><br> <br><br>
ALIEN
发表于 2025-3-21 23:20:26
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Lymphocyte
发表于 2025-3-22 04:25:58
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Slit-Lamp
发表于 2025-3-22 06:29:17
Learning Safe Graph Construction from Multiple Graphsion which, however, remains challenging for general cases. What is more serious, constructing graph improperly may even deteriorate performance, which means its performance is worse than that of its supervised counterpart with only labeled data. For this reason, we consider learning a safe graph con
以烟熏消毒
发表于 2025-3-22 10:16:20
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endoscopy
发表于 2025-3-22 15:34:39
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环形
发表于 2025-3-22 17:24:48
Influence Maximization Node Mining with Trust Propagation Mechanismation mechanism of network information and controlling rumor. In recent years, based on the percolation theory, the problem of maximizing the node identification has attracted a lot of attention. However, this method does not consider the influence of the propagation of trust on the maximization of
全神贯注于
发表于 2025-3-23 00:59:29
Semi-supervised Classification of Concept Drift Data Stream Based on Local Component Replacementing. These challenges will become more serious when only few instances are labeled in data stream. In the paper, based on the algorithm of SPASC, a strategy of local component replacement for updating classifier pool is proposed. The proposed strategy defines a vector based on local accuracy to eval
Aerate
发表于 2025-3-23 02:40:12
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平淡而无味
发表于 2025-3-23 09:37:09
RBF Networks with Dynamic Barycenter Averaging Kernel for Time Series Classification on function approximation. However, the core of RBF network is its static kernel function, which is based on the Euclidean distance and cannot be directly used for time series classification (TSC). In this paper, a new temporal kernel called Dynamic Barycenter Averaging Kernel (DBAK) is introduced