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Titlebook: International Humanitarian Law Facing New Challenges; Symposium in Honour Wolff Heintschel Heinegg,Volker Epping Conference proceedings 20

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W. Hays Parksed, which bases on local expansion community discovery and DQN (Deep Q Network). Semantic information such as research field, paper title, and self-citation is extracted and represented to richen authors’ abnormal features. An expansion measure function is enhanced for community discovery, which int
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Steven Hainesed, which bases on local expansion community discovery and DQN (Deep Q Network). Semantic information such as research field, paper title, and self-citation is extracted and represented to richen authors’ abnormal features. An expansion measure function is enhanced for community discovery, which int
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Torsten Steinween the parameter server and workers. We set up multiple buffer slots in the buffer system to alleviate network pressure and design a buffer merging strategy to disperse computational pressure of parameter server among Lambda workers. In the experiments on different ML algorithms with different syn
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ble knowledge tracing datasets, our method demonstrates significant improvement in tracing performance on small datasets, with a maximum AUC increase of 5.07%. Beyond incorporating small datasets, our approach of pre-training the entire dataset has shown an enhanced AUC compared to the baseline, mar
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