Zobrazeno 1 - 5
of 5
pro vyhledávání: '"W G Hanley"'
Autor:
W G Hanley, B M Ng
Decision-making in the face of uncertainty requires an understanding of the probabilistic mechanisms that govern the complex behavior of these systems. This issue applies to many domains: financial investments, disease control, military planning and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab2db8d4aa3ce778f3c76697f18d6181
https://doi.org/10.2172/919953
https://doi.org/10.2172/919953
Autor:
T L Hickling, W G Hanley
Semantic graphs are becoming a valuable tool for organizing and discovering information in an increasingly complex analysis environment. This paper investigates the use of graph topology to measure the strength of relationships in a semantic graph. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b1c3a279c48b01e4bf5130f417b082
https://doi.org/10.2172/883760
https://doi.org/10.2172/883760
Estimating unknown system configurations/parameters by combining system knowledge gained from a computer simulation model on one hand and from observed data on the other hand is challenging. An example of such inverse problem is detecting and localiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0efdfea0e45d12bfbc24ee507bd30df
https://doi.org/10.2172/15014635
https://doi.org/10.2172/15014635
Autor:
R J Grimm, R L Newmark, R E Glaser, K A Henderson, J J Nitao, S Carle, T L Hickling, A Ramirez, D A Jones, B Kosovic, G A Sugiyama, Michael E. Pasyanos, K M Dyer, G Johannesson, R A Levine, S Sengupta, V M Johnson, G A Franz, W G Hanley, Roger D. Aines
Accurate prediction of complex phenomena can be greatly enhanced through the use of data and observations to update simulations. The ability to create these data-driven simulations is limited by error and uncertainty in both the data and the simulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b8fe6da546587cc3251157f1b6fee5a
https://doi.org/10.2172/15009813
https://doi.org/10.2172/15009813
Autor:
D B Harris, R. Newmark, R. Aines, Kathleen M. Dyer, J J Nitao, G Sugiyama, D Ermak, W G Hanley, R Glaser, W Daily, Z Yu, Y Zhang, G Fogg, James W. Johnson, S Sengupta, S Carle, A Ramirez, Johnson, R A Levine
The stochastic engine uses modern computational capabilities to combine simulations with observations. We integrate the general knowledge represented by models with specific knowledge represented by data, using Bayesian inferencing and a highly effic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b611925c39b467f1e721513a85b801c
https://doi.org/10.2172/15002143
https://doi.org/10.2172/15002143