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教育博士学位论文 - sites.temple.edu

https://sites.temple.edu/nsfcareerakt/files/2019/06/140601033-%E5%8D%9A%E5%A3%AB%E6%AF%95%E4%B8%9A%E8%AE%BA%E6%96%87.pdf

接着,研 究将基于KMT的专家教师教学策略应用于新手教师专业成长的培养中,同 时也将专家教师与新手教师的教学进行对比分析,得出新手教师专业发展的三个阶段:个 人经验主导阶段,教 材解读整合阶段和分析学生学习阶段。同时,研 究进一步构建了新手教师专业成长路径的模型,模型从三个方面描述了 ...

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf

2 Power of background noise -95 Bm Size of requested contents [0.5, 1.5] MB 2.4GHz Intel Xeon E5-2650 processor and 256GB RAM. The main parameters are listed in Table II. For performance comparison, the following four bench-mark caching methods are introduced:

guides.temple.edu

https://guides.temple.edu/az/databases?q=%E5%9B%BD%E4%BA%A7%E5%B9%BC%E5%A5%B3%E8%A7%86%E9%A2%91-

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