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pro vyhledávání: '"Spencer Stubbs"'
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 81, Iss 7, Pp 1-9 (2021)
Abstract Mixture density networks (MDNs) can be used to generate posterior density functions of model parameters $$\varvec{\theta }$$ θ given a set of observables $${\mathbf {x}}$$ x . In some applications, training data are available only for discr
Externí odkaz:
https://doaj.org/article/42b642e65c024959bb56db60384144f4
Autor:
Spencer Stubbs, Jonathan Colton
Publikováno v:
Agriculture, Vol 12, Iss 11, p 1790 (2022)
Rising labor costs and the inefficient manual methods of cultivating red onions in Bangladesh contribute to the country’s failure to meet is own demand. Mechanizing the process of transplanting red onion seedlings will reduce the manual labor requi
Externí odkaz:
https://doaj.org/article/7f77cbddd76b49b68cdeffa250de8afd
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 81, Iss 7, Pp 1-9 (2021)
European Physical Journal
European Physical Journal
Mixture density networks (MDNs) can be used to generate posterior density functions of model parameters $$\varvec{\theta }$$ θ given a set of observables $${\mathbf {x}}$$ x . In some applications, training data are available only for discrete value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f77227ec6287d7e2651bd18c58069b63
https://doi.org/10.1140/epjc/s10052-021-09469-y
https://doi.org/10.1140/epjc/s10052-021-09469-y