Titlebook: Pro SQL Server 2012 Practices; Bradley Ball,TJay Belt,Jason Strate Book 2012 The Author(s) 2012

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書目名稱Pro SQL Server 2012 Practices影響因子(影響力)




書目名稱Pro SQL Server 2012 Practices影響因子(影響力)學(xué)科排名




書目名稱Pro SQL Server 2012 Practices網(wǎng)絡(luò)公開度




書目名稱Pro SQL Server 2012 Practices網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Pro SQL Server 2012 Practices被引頻次




書目名稱Pro SQL Server 2012 Practices被引頻次學(xué)科排名




書目名稱Pro SQL Server 2012 Practices年度引用




書目名稱Pro SQL Server 2012 Practices年度引用學(xué)科排名




書目名稱Pro SQL Server 2012 Practices讀者反饋




書目名稱Pro SQL Server 2012 Practices讀者反饋學(xué)科排名

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Kellyn Pot’vinally, the node-level attention aims to learn the importance between a node and its meta-path based neighbors, while the semantic-level attention is to learn the importance of different meta-paths. This mechanism contributes to effectively embedding users and ROIs in a hierarchical manner of fully co

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Mladen Prajdi?lf; Second, modify the feature pyramid network to improve the detection performance of small-scale ships by enhancing feature receptive fields; third, introduce the IoU loss branch to further improve the detection and positioning accuracy; finally, the feature distillation is applied to handle the p

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ornithology

Wendy Pastrick to softmax layer for classification. To avoid overfitting problem in the training process, the dropout regularization technique is adopted. We have used a dataset of 84,000 character images for training and testing our model. The experimental result shows satisfactory outputs and eventually achieve

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