https://guides.temple.edu/groundedtheory/groundedtheory
Grounded Theory is about "how the discovery of theory from data - systemically obtained and analyzed in social research - can be furthered." In opposition to the top down theory verification approach, "grounded theory" is the "discovery of theory from data." It is "a general method of comparative analysis." (Glaser and Strauss, 1967, p. 1). What is produced from Grounded Theory aims to provide ...
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https://www.cla.temple.edu/RePEc/documents/DETU_18_04.pdf
Di erence-in-Di erences (DID) is one of the most important and popular designs for eval-uating causal e ects of policy changes. In its standard format, there are two time periods and two groups: in the rst period no one is treated, and in the second period a \treatment group" becomes treated, whereas a \control group" remains untreated. However, many em-pirical applications of the DID design ...
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
Abstract—In this paper, we investigate the competitive content placement problem in Mobile Edge Caching (MEC) systems, where Edge Data Providers (EDPs) cache appropriate contents and trade them with requesters at a suitable price. Most of the existing works ignore the complicated strategic and economic interplay between content caching, pricing, and content sharing. Therefore, we propose a ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Reinforcement_Learning-based_Dual-Identity_Double_Auction_in_Personalized_Federated_Learning.pdf
Reinforcement Learning-based Dual-Identity Auction in Personalized Federated Juan Li, Member, IEEE, Zishang Chen, Tianzi Wu, Fellow, IEEE, Yanmin