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pro vyhledávání: '"G., Michael"'
In this paper, we propose a method and workflow for automating regression testing of certain video game aspects using automated planning and incremental action model learning techniques. The basic idea is to use detailed game logs and incremental act
Externí odkaz:
http://arxiv.org/abs/2402.12393
Autor:
Balyo, Tomáš, Suda, Martin, Chrpa, Lukáš, Šafránek, Dominik, Gocht, Stephan, Dvořák, Filip, Barták, Roman, Youngblood, G. Michael
Previous STRIPS domain model acquisition approaches that learn from state traces start with the names and parameters of the actions to be learned. Therefore their only task is to deduce the preconditions and effects of the given actions. In this work
Externí odkaz:
http://arxiv.org/abs/2402.10726
Autor:
Hythem Sidky, Kristen A. Hansen, Andrew T. Girvin, Nathan Hotaling, Sam G. Michael, Ken Gersing, David K. Sahner
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 115-125 (2024)
Background: Post-acute sequelae of COVID-19 (PASC) produce significant morbidity, prompting evaluation of interventions that might lower risk. Selective serotonin reuptake inhibitors (SSRIs) potentially could modulate risk of PASC via their central,
Externí odkaz:
https://doaj.org/article/c0703b56ad684394a97e3a2666d7049f
Autor:
Kelsey S. Dickson, Olivia G. Michael, Amy Drahota, Aksheya Sridhar, Jessica E. Tschida, Jill Locke
Publikováno v:
Implementation Science Communications, Vol 5, Iss 1, Pp 1-19 (2024)
Abstract Background Implementation strategies are key to enhancing the translation of new innovations but there is a need to systematically design and tailor strategies to match the targeted implementation context and address determinants. There are
Externí odkaz:
https://doaj.org/article/939932fdc0e04761bfc8d8e54915c3a7