Titlebook: Artificial Intelligence; First CCF Internatio Zhi-Hua Zhou,Qiang Yang,Yu Zheng Conference proceedings 2018 Springer Nature Singapore Pte Lt

Withdrawal

書目名稱Artificial Intelligence影響因子(影響力)




書目名稱Artificial Intelligence影響因子(影響力)學科排名




書目名稱Artificial Intelligence網絡公開度




書目名稱Artificial Intelligence網絡公開度學科排名




書目名稱Artificial Intelligence被引頻次




書目名稱Artificial Intelligence被引頻次學科排名




書目名稱Artificial Intelligence年度引用




書目名稱Artificial Intelligence年度引用學科排名




書目名稱Artificial Intelligence讀者反饋




書目名稱Artificial Intelligence讀者反饋學科排名

ALIEN

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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

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endoscopy

環(huán)形

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

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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

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平淡而無味

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