Zobrazeno 1 - 10
of 640
pro vyhledávání: '"BARTLETT, MARK"'
Autor:
Bartlett, Mark S., Van Blitterswyk, Jared, Farella, Martha, Li, Jinshu, Smith, Curtis, Parolari, Anthony J., Krishnamoorthy, Lalitha, Mrad, Assaad
Rapid delineation of flash flood extents is critical to mobilize emergency resources and to manage evacuations, thereby saving lives and property. Machine learning (ML) approaches enable rapid flood delineation with reduced computational demand compa
Externí odkaz:
http://arxiv.org/abs/2211.00636
Publikováno v:
In International Journal of Drug Policy December 2023 122
Autor:
Nielsen, Suzanne, Barratt, Monica, Hiley, Sarah, Bartlett, Mark, Latimer, Julie, Jauncey, Marianne, Roux, Claude, Morelato, Marie, Clark, Nico, Kowalski, Michala, Gilbert, Michael, Francia, Leanne, Shipton, Alexandra, Gerostamoulos, Dimitri, Glowacki, Linda, Lam, Tina
Publikováno v:
In International Journal of Drug Policy May 2023 115
Publikováno v:
In Swarm and Evolutionary Computation April 2023 78
Autor:
Bartlett, Mark S., Porporato, Amilcare
Publikováno v:
Phys. Rev. E 98, 052132 (2018)
The abrupt changes that are ubiquitous in physical and natural systems are often well characterized by shot noise with a state dependent recurrence frequency and jump amplitude. For such state dependent behavior, we derive the transition probability
Externí odkaz:
http://arxiv.org/abs/1807.01848
Publikováno v:
Ecological Modelling, 384, 173-187 (2018)
Recently, interest in crassulacean acid metabolism (CAM) photosynthesis has risen and new, physiologically based CAM models have emerged. These models show promise, yet unlike the more widely used physiological models of C3 and C4 photosynthesis, the
Externí odkaz:
http://arxiv.org/abs/1804.10667
Autor:
Iglesias, Dario E., Cremonini, Eleonora, Hester, Shelly N., Wood, Steven M., Bartlett, Mark, Fraga, Cesar G., Oteiza, Patricia I.
Publikováno v:
In Free Radical Biology and Medicine 1 August 2022 188:71-82
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Journal of Natural Gas Science and Engineering November 2021 95
The challenging task of learning structures of probabilistic graphical models is an important problem within modern AI research. Recent years have witnessed several major algorithmic advances in structure learning for Bayesian networks---arguably the
Externí odkaz:
http://arxiv.org/abs/1605.04071