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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/cognitionlearning/files/2017/08/Gunderson-et-al-in-press-DP-Parent-Praise.pdf
1 For consistency with prior work, we chose to restrict our sample to the N=53 parent-child dyads reported in Gunderson et al. (2013). This subsample included only dyads who had complete data for praise and motivational frameworks. However, we also repeated our main path analyses including all available data (i.e., N=60 parent-child dyads who had at least some data on dependent variables). The ...
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 ...