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of 26
pro vyhledávání: '"Strauss, Ryan"'
Autor:
Strauss, Ryan R., Oliva, Junier B.
Arbitrary conditioning is an important problem in unsupervised learning, where we seek to model the conditional densities $p(\mathbf{x}_u \mid \mathbf{x}_o)$ that underly some data, for all possible non-intersecting subsets $o, u \subset \{1, \dots ,
Externí odkaz:
http://arxiv.org/abs/2201.12414
Autor:
Strauss, Ryan R., Oliva, Junier B.
Modeling distributions of covariates, or density estimation, is a core challenge in unsupervised learning. However, the majority of work only considers the joint distribution, which has limited utility in practical situations. A more general and usef
Externí odkaz:
http://arxiv.org/abs/2102.04426
This article presents novel applications of unsupervised machine learning methods to the problem of event separation in an active target detector, the Active-Target Time Projection Chamber (AT-TPC). The overarching goal is to group similar events in
Externí odkaz:
http://arxiv.org/abs/2008.02757
Autor:
Alanazi, Yasir, Sato, N., Liu, Tianbo, Melnitchouk, W., Ambrozewicz, Pawel, Hauenstein, Florian, Kuchera, Michelle P., Pritchard, Evan, Robertson, Michael, Strauss, Ryan, Velasco, Luisa, Li, Yaohang
Publikováno v:
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21) Main Track, p. 2126 (2021)
We apply generative adversarial network (GAN) technology to build an event generator that simulates particle production in electron-proton scattering that is free of theoretical assumptions about underlying particle dynamics. The difficulty of effici
Externí odkaz:
http://arxiv.org/abs/2001.11103
Autor:
Kuchera, Michelle P., Ramanujan, Raghuram, Taylor, Jack Z., Strauss, Ryan R., Bazin, Daniel, Bradt, Joshua, Chen, Ruiming
Publikováno v:
NIMA 940 (2019) 56-167, ISSN 0168-9002
We evaluate machine learning methods for event classification in the Active-Target Time Projection Chamber detector at the National Superconducting Cyclotron Laboratory (NSCL) at Michigan State University. An automated method to single out the desire
Externí odkaz:
http://arxiv.org/abs/1810.10350
Publikováno v:
In The Emergency Department Technician Handbook 2024:159-179
Autor:
May, Larissa, Harter, Katherine, Yadav, Kabir, Strauss, Ryan, Abualenain, Jameel, Keim, Amy, Schmitz, Gillian
Publikováno v:
In American Journal of Emergency Medicine February 2012 30(2):302-310
Autor:
Abdelsamad, Dina, Abraham, Lindsey, Al-Atrache, Yasmin, Altaf, Lareb, Badashova, Ksenya, Batra, Sonal, Beisenova, Kamilla, Boniface, Keith, Brooks, Kiara, Chaffay, Brandon, Chowdhury, Aileen, Chukwuma, Emmanuel, Cogswell, Sara, Connealy, Margeaux, Craig, Cassidy, Cronin, Sarah, Davis, Steven, Dearing, Elizabeth, Donelan, Crystal, Drake, Aaran, Frye, Eleanor, Gallerani, Christina, Gannon, Carin, Garcia, Sara Ashton, Gray, Jason, Hastava, Alexander Gregory, Hocutt, Sarah, Hoffer, Megan, Huang, Jenny, Ingram, Sarah, Jacobs, Breanne, Johnson, Cody, Keim, Amy, Klein, Margaret, Kunic, Joseph, Lemmon, Lexington, Ligas, Owen, Lubin, Noah, Manfredi, Rita, McEnery, Maggie, McKay, Jason S., McKinney, Robert L., Meltzer, Andrew Charles, Milani, Elise, Monsalve, Natalia, Naik, Nehal S., Nayve, Trent, Organick-Lee, John, Payette, Christopher, Pierce, Ayal, Popova, Margarita, Pyle, Matthew, Ranniger, Claudia, Robie, Stephen, Roche, Colleen, Rosenstein, Madeleine, Rubin, Eleanor, Saliba, Zeina, Selzer, Jordan, Shesser, Robert, Steckler, Leah, Strauss, Ryan, Tovsen, Alexa, Treviño, Jesús, Vilt, Fletcher, Warrington, Andzie, West, Michael, Wilson, Naja, Winsten, Mary Taylor, Winsten, Samuel, Xavier, Julia, Yamane, David
Publikováno v:
In The Emergency Department Technician Handbook 2024:v-x
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Akademický článek
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