Computer Science ›› 2019, Vol. 46 ›› Issue (11A): 76-79.
• Intelligent Computing • Previous Articles Next Articles
YU Cheng1, ZHU Wan-ning1, YOU Kun1, ZHU Jin-fu2
CLC Number:
[1]王竟成.我国电子竞技发展的机遇和挑战[J].河南教育学院学报(自然科学版),2018(4). [2]SEMENOV A,ROMOV P,KOROLEV S,et al.Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2[C]∥International Conference on Analysis of Images.2016. [3]RIOULT F,MÉTIVIER J P,HELLEU B,et al.Mining Tracks of Competitive Video Games [J].Aasri Procedia,2014,8:82-87. [4]WANG K,SHANG W.Outcome prediction of DOTA2 based on Naïve Bayes classifier[C]∥IEEE/ACIS International Conference on Computer & Information Science.2017. [5]CHEN Z X,et al.Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games[J].aarXiv:1803.10402,2018. [6]朱益立.关联规则算法研究及其在电子竞技中的应用[D].桂林:桂林电子科技大学,2017. [7]YU C,ZHU W N,LI L L,et al.Research on E-sports session identification[C]∥MATEC Web of Conferences.EDP Sciences,2018:10011. [8]LI L L,ZHU W N,YU C,et al.Esports analysis data acquisition algorithm based on convolutional neural network[C]∥MATEC Web of Conferences.EDP Sciences,2018,189:03003. [9]于诚,朱皖宁.基于战场热点图的MOBA类游戏战术分析研究[J].计算机科学,2018,45(S2):149-151,175. [10]VINYALS O,BLUNDELL C,LILLICRAP T,et al.Matchingnetworks for one shot learning[C]∥Advances in Neural Information Processing Systems.2016:3630-3638. [11]SANTORO A,BARTUNOV S,BOTVINICK M,et al.Meta-learning with memory-augmented neural networks[C]∥International Conference on Machine Learning.2016:1842-1850. [12]VASWANI A,SHAZEER N,PARMAR N,et al.Attention is all you need[C]∥Advances in Neural Information Processing Systems.2017:5998-6008. [13]李海林,郭崇慧.时间序列数据挖掘中特征表示与相似性度量研究综述[J].计算机应用研究,2013,30(5):1285-1291. [14]马宏伟,张光卫,李鹏.协同过滤推荐算法综述[J].小型微型计算机系统,2009,30(7):1282-1288. [15]SAHU S K,ANAND A.Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network[J].Journal of Biomedical Informatics,2017:S1532046418301606. |
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[9] | . [J]. Computer Science, 2006, 33(5): 222-226. |
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