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pro vyhledávání: '"De Ath, A"'
Trajectory prediction (TP) plays an important role in supporting the decision-making of Air Traffic Controllers (ATCOs). Traditional TP methods are deterministic and physics-based, with parameters that are calibrated using aircraft surveillance data
Externí odkaz:
http://arxiv.org/abs/2309.14957
Autor:
Parkin, Harry
Publikováno v:
The Concise Oxford Dictionary of Family Names in Britain, 1 ed., 2021.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780198868255.001.0001/acref-9780198868255-e-10147
Autor:
Paridaens, Nicolas
Publikováno v:
L’Antiquité Classique, 2017 Jan 01. 86, 628-629.
Externí odkaz:
https://www.jstor.org/stable/27102605
Publikováno v:
The Oxford Dictionary of Family Names in Britain and Ireland, 1 ed., 2016.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780199677764.001.0001/acref-9780199677764-e-10522
Autor:
Pepper, Nick, Thomas, Marc, De Ath, George, Oliver, Enrico, Cannon, Richard, Everson, Richard, Dodwell, Tim
Ensuring vertical separation is a key means of maintaining safe separation between aircraft in congested airspace. Aircraft trajectories are modelled in the presence of significant epistemic uncertainty, leading to discrepancies between observed traj
Externí odkaz:
http://arxiv.org/abs/2210.01445
Optimisation problems often have multiple conflicting objectives that can be computationally and/or financially expensive. Mono-surrogate Bayesian optimisation (BO) is a popular model-based approach for optimising such black-box functions. It combine
Externí odkaz:
http://arxiv.org/abs/2203.16912
Bayesian optimisation (BO) uses probabilistic surrogate models - usually Gaussian processes (GPs) - for the optimisation of expensive black-box functions. At each BO iteration, the GP hyperparameters are fit to previously-evaluated data by maximising
Externí odkaz:
http://arxiv.org/abs/2105.00894
Batch Bayesian optimisation (BO) is a successful technique for the optimisation of expensive black-box functions. Asynchronous BO can reduce wallclock time by starting a new evaluation as soon as another finishes, thus maximising resource utilisation
Externí odkaz:
http://arxiv.org/abs/2010.07615
Bayesian optimisation is a popular approach for optimising expensive black-box functions. The next location to be evaluated is selected via maximising an acquisition function that balances exploitation and exploration. Gaussian processes, the surroga
Externí odkaz:
http://arxiv.org/abs/2004.08349
Bayesian optimisation is a popular, surrogate model-based approach for optimising expensive black-box functions. Given a surrogate model, the next location to expensively evaluate is chosen via maximisation of a cheap-to-query acquisition function. W
Externí odkaz:
http://arxiv.org/abs/2002.01873