机译:基于双向LSTM改进的DOTA2阵容推荐模型
Henan Key Lab Big Data Anal & Proc Kaifeng 457004 Peoples R China|Henan Univ Inst Data & Knowledge Engn Kaifeng 475004 Peoples R China;
Henan Univ Inst Data & Knowledge Engn Kaifeng 475004 Peoples R China|Natl Internet Emergency Ctr Zhengzhou 450000 Peoples R China;
Henan Key Lab Big Data Anal & Proc Kaifeng 457004 Peoples R China|Henan Univ Inst Data & Knowledge Engn Kaifeng 475004 Peoples R China;
Guangzhou Univ Cyberspace Inst Adv Technol Guangzhou 510006 Peoples R China;
Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA;
Guangzhou Univ Cyberspace Inst Adv Technol Guangzhou 510006 Peoples R China;
Word2vec; mutiplayer online battle arena games; Continuous Bag Of Words (CBOW) model; Long Short-Term Memory (LSTM);
机译:基于双向LSTM的改进的Dota2阵容推荐模型
机译:DTDR-ALSTM:提取动态时滞以重建多变量数据以改善基于关注的LSTM工业时间序列预测模型
机译:使用改进的LSTM模型进行双向信息融合
机译:TA-BLSTM:基于标记注意的双向长期短期存储器,用于在混搭创建中进行服务推荐
机译:LV分布网的基于深度学习的托管能力分析,具有空间时间LSTMS
机译:SBLC:基于语义双向LSTM和条件随机场的疾病命名实体识别混合模型
机译:通过使用LsTm对字符而不是单词建模来改进基于过渡的分析