Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Husni Almoubayyed"'
Autor:
Husni Almoubayyed, Stephen E. Fancsali
We report work-in-progress that aims to better understand prediction performance differences between Deep Knowledge Tracing (DKT) and Bayesian Knowledge Tracing (BKT) as well as "gaming the system" behavior by considering variation in features and de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d27518df0f1228cd3c5ef90ac69491
Publikováno v:
LAK23: 13th International Learning Analytics and Knowledge Conference.
Autor:
Michelle Lochner, Dan Scolnic, Husni Almoubayyed, Timo Anguita, Humna Awan, Eric Gawiser, Satya Gontcho A Gontcho, Melissa L. Graham, Philippe Gris, Simon Huber, Saurabh W. Jha, R. Lynne Jones, Alex G. Kim, Rachel Mandelbaum, Phil Marshall, Tanja Petrushevska, Nicolas Regnault, Christian N. Setzer, Sherry H. Suyu, Peter Yoachim, Rahul Biswas, Tristan Blaineau, Isobel Hook, Marc Moniez, Eric Neilsen, Hiranya Peiris, Daniel Rothchild, Christopher Stubbs
Publikováno v:
Astrophys.J.Supp.
Astrophys.J.Supp., 2022, 259 (2), pp.58. ⟨10.3847/1538-4365/ac5033⟩
Astrophys.J.Supp., 2022, 259 (2), pp.58. ⟨10.3847/1538-4365/ac5033⟩
The generation-defining Vera C. Rubin Observatory will make state-of-the-art measurements of both the static and transient universe through its Legacy Survey for Space and Time (LSST). With such capabilities, it is immensely challenging to optimize t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9e9a53a263fb6e487fb06800110e517
https://mediatum.ub.tum.de/1657585
https://mediatum.ub.tum.de/1657585
Autor:
J. Ellison, Joe Zuntz, Shahab Joudaki, Michal Vrastil, Thomas McClintock, Matthew Kirby, Tilman Troester, François Lanusse, Elisabeth Krause, Husni Almoubayyed, Jérémy Neveu, D. Kirkby, Anze Slosar, David Alonso, Tim Eifler, Sukhdeep Singh, Jonathan Blazek, Philip Bull, C. Danielle Leonard, Alexander Mead, Renée Hlozek, Zilong Du, Antonio Villarreal, Stéphane Plaszczynski, Erika L. Wagoner, Nora Elisa Chisari, J. E. Campagne, Christiane S. Lorenz, Javier Sanchez, Mustapha Ishak
Publikováno v:
Chisari, N E, Alonso, D, Krause, E, Leonard, C D, Bull, P, Neveu, J, Villarreal, A, Singh, S, McClintock, T, Ellison, J, Du, Z, Zuntz, J, Mead, A, Joudaki, S, Lorenz, C S, Troester, T, Sanchez, J, Lanusse, F, Ishak, M, Hlozek, R, Blazek, J, Campagne, J-E, Almoubayyed, H, Eifler, T, Kirby, M, Kirkby, D, Plaszczynski, S, Slosar, A, Vrastil, M & Wagoner, E L 2019, ' Core Cosmology Library : Precision Cosmological Predictions for LSST ', Astrophysical Journal Supplement . https://doi.org/10.3847/1538-4365/ab1658
The Astrophysical Journal Supplement Series
The Astrophysical Journal Supplement Series, IOPscience 2019, 242 (1), pp.2. ⟨10.3847/1538-4365/ab1658⟩
Astrophys.J.Suppl.
Astrophys.J.Suppl., 2019, 242 (1), pp.2. ⟨10.3847/1538-4365/ab1658⟩
The Astrophysical Journal Supplement Series
The Astrophysical Journal Supplement Series, IOPscience 2019, 242 (1), pp.2. ⟨10.3847/1538-4365/ab1658⟩
Astrophys.J.Suppl.
Astrophys.J.Suppl., 2019, 242 (1), pp.2. ⟨10.3847/1538-4365/ab1658⟩
The Core Cosmology Library (CCL) provides routines to compute basic cosmological observables to a high degree of accuracy, which have been verified with an extensive suite of validation tests. Predictions are provided for many cosmological quantities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::defd7ea4abcf16f1e98b013d008ee17a
https://hdl.handle.net/20.500.11820/33d61deb-32ab-4368-8e12-f1ae338c5617
https://hdl.handle.net/20.500.11820/33d61deb-32ab-4368-8e12-f1ae338c5617