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pro vyhledávání: '"Ariel Keller"'
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107780- (2022)
Neural Networks (NNs) are increasingly used across scientific domains to extract knowledge from experimental or computational data. An NN is composed of natural or artificial neurons that serve as simple processing units and are interconnected into a
Externí odkaz:
https://doaj.org/article/c0d1c07fb66d4e77af50209ec9474fd8
Autor:
Rorabaugh, Ariel Keller, Caíno-Lores, Silvina, Wyatt II, Michael R., Johnston, Travis, Taufer, Michela
Neural network (NN) models are increasingly used in scientific simulations, AI, and other high performance computing (HPC) fields to extract knowledge from datasets. Each dataset requires tailored NN model architecture, but designing structures by ha
Externí odkaz:
http://arxiv.org/abs/2101.04185
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. :1-1
Publikováno v:
Discrete Mathematics. 341:203-212
This paper considers a degree sum condition sufficient to imply the existence of k vertex-disjoint cycles in a graph G . For an integer t ≥ 1 , let σ t ( G ) be the smallest sum of degrees of t independent vertices of G . We prove that if G has or
Publikováno v:
In Data in Brief February 2022 40
Autor:
Boris Brimkov, Rachel Kirsch, Michael Phillips, Ariel Keller, Kirk Boyer, Carolyn Reinhart, Daniela Ferrero, Sean English
Zero forcing is an iterative graph coloring process, where given a set of initially colored vertices, a colored vertex with a single uncolored neighbor causes that neighbor to become colored. A zero forcing set is a set of initially colored vertices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a9a3c13cabcfe3e40b82a8c545022b
http://arxiv.org/abs/1801.08910
http://arxiv.org/abs/1801.08910