Zobrazeno 1 - 10
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pro vyhledávání: '"Wilson, James D."'
Community discovery is the general process of attaining assortative communities from a network: collections of nodes that are densely connected within yet sparsely connected to the rest of the network. While community discovery has been well studied,
Externí odkaz:
http://arxiv.org/abs/2212.10513
Autor:
Wilson, James D., Lee, Jihui
We consider the problem of interpretable network representation learning for samples of network-valued data. We propose the Principal Component Analysis for Networks (PCAN) algorithm to identify statistically meaningful low-dimensional representation
Externí odkaz:
http://arxiv.org/abs/2106.14238
Autor:
Bennett, Jesse E., Bowler, Anthony T., Cavabaugh, William R., Glass, Aaron J., Green, John D., Katbah, Maher M., Murphy, George P., Pepe, Jennifer L., Poulton, Mary M., Qin, Jizeng., Sparrold, Susan A., Stavem, Patricia A., Sternberg, Ben K., Thomas, Scott J., 1961, Wilson, James D., Wold, James P.
Externí odkaz:
http://hdl.handle.net/10150/624556
http://arizona.openrepository.com/arizona/handle/10150/624556
http://arizona.openrepository.com/arizona/handle/10150/624556
Publikováno v:
In Psychiatry Research March 2024 333
Publikováno v:
In Information Sciences January 2024 653
Practitioners use feature importance to rank and eliminate weak predictors during model development in an effort to simplify models and improve generality. Unfortunately, they also routinely conflate such feature importance measures with feature impa
Externí odkaz:
http://arxiv.org/abs/2006.04750
Autor:
Torbati, Mahbaneh Eshaghzadeh, Minhas, Davneet S., Laymon, Charles M., Maillard, Pauline, Wilson, James D., Chen, Chang-Le, Crainiceanu, Ciprian M., DeCarli, Charles S., Hwang, Seong Jae, Tudorascu, Dana L.
Publikováno v:
In Medical Image Analysis October 2023 89
Autor:
Parr, Terence, Wilson, James D.
Partial dependence curves (FPD) introduced by Friedman, are an important model interpretation tool, but are often not accessible to business analysts and scientists who typically lack the skills to choose, tune, and assess machine learning models. It
Externí odkaz:
http://arxiv.org/abs/1907.06698
Publikováno v:
In Biological Psychiatry 15 July 2023 94(2):142-152
Recently there has been a lot of interest in monitoring and identifying changes in dynamic networks, which has led to the development of a variety of monitoring methods. Unfortunately, these methods have not been systematically compared; moreover, ne
Externí odkaz:
http://arxiv.org/abs/1905.10302