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pro vyhledávání: '"Cooper, Gregory A."'
Autor:
Sun, Yiming, Gao, Yuhe, Bao, Runxue, Cooper, Gregory F., Espino, Jessi, Hochheiser, Harry, Michaels, Marian G., Aronis, John M., Song, Chenxi, Ye, Ye
Transfer learning has become a pivotal technique in machine learning and has proven to be effective in various real-world applications. However, utilizing this technique for classification tasks with sequential data often faces challenges, primarily
Externí odkaz:
http://arxiv.org/abs/2402.01987
Directed acyclic graph (DAG) models have become widely studied and applied in statistics and machine learning -- indeed, their simplicity facilitates efficient procedures for learning and inference. Unfortunately, these models are not closed under ma
Externí odkaz:
http://arxiv.org/abs/2207.08963
Autor:
Coleman, Tanner F., Pugh, Jada, Kelley, Whitley V., East, Kelly M., Greve, Veronica, Finnila, Candice R., Henson, Ava, Korf, Bruce R., Barsh, Gregory S., Cooper, Gregory M., Cochran, Meagan E.
Publikováno v:
In Genetics in Medicine September 2024 26(9)
Autor:
Hirschi, Owen R., Felker, Stephanie A., Rednam, Surya P., Vallance, Kelly L., Parsons, D. Williams, Roy, Angshumoy, Cooper, Gregory M., Plon, Sharon E.
Publikováno v:
In Genetics in Medicine Open 2024 2
Autor:
Triantafillou, Sofia, Cooper, Gregory
Estimating causal effects from observational data is not always possible due to confounding. Identifying a set of appropriate covariates (adjustment set) and adjusting for their influence can remove confounding bias; however, such a set is typically
Externí odkaz:
http://arxiv.org/abs/2005.08749
Most causal discovery algorithms find causal structure among a set of observed variables. Learning the causal structure among latent variables remains an important open problem, particularly when using high-dimensional data. In this paper, we address
Externí odkaz:
http://arxiv.org/abs/2003.13135
Akademický článek
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Akademický článek
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Autor:
King, Andrew J., Angus, Derek C., Cooper, Gregory F., Mowery, Danielle L., Seaman, Jennifer B., Potter, Kelly M., Bukowski, Leigh A., Al-Khafaji, Ali, Gunn, Scott R., Kahn, Jeremy M.
Publikováno v:
In Journal of Biomedical Informatics October 2023 146
Autor:
Felker, Stephanie A., Lawlor, James M.J., Hiatt, Susan M., Thompson, Michelle L., Latner, Donald R., Finnila, Candice R., Bowling, Kevin M., Bonnstetter, Zachary T., Bonini, Katherine E., Kelly, Nicole R., Kelley, Whitley V., Hurst, Anna C.E., Rashid, Salman, Kelly, Melissa A., Nakouzi, Ghunwa, Hendon, Laura G., Bebin, E. Martina, Kenny, Eimear E., Cooper, Gregory M.
Publikováno v:
In Genetics in Medicine August 2023 25(8)