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of machine learning (ML) versus a traditional statistical model in predicting dental caries in
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https://sites.temple.edu/yangyang/%E4%B8%AD%E6%96%87%E9%A1%B5%E9%9D%A2/
中文介绍 杨旸博士是美国天普大学(Temple University)体育、旅游与酒店管理学院正教授，博士生导师，系主任，同时担任美亚旅游与酒店研究中心的执行主任。作为旅游经济与分析领域的顶尖研究者，杨博士专注于旅游增长与需求建模、酒店行业的选址与财务分析以及旅游与酒店业中的大数据应用。杨 ...
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
To circumvent the above challenges, we introduce the Mean-Field Game (MFG) theory [29] to reduce a one-to-many game to a one-to-one game and further propose a joint MFG framework for mobile edge Caching and Pricing, namely MFG-CP, where each EDP can optimize its own utility in a distributed manner.