Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hugo Maruri-Aguilar"'
Autor:
Maria D. L. A. Vazquez-Montes, Thomas P. A. Debray, Kathryn S. Taylor, Benjamin Speich, Nicholas Jones, Gary S. Collins, F. D. R. Richard Hobbs, Emmanuella Magriplis, Hugo Maruri-Aguilar, Karel G. M. Moons, John Parissis, Rafael Perera, Nia Roberts, Clare J. Taylor, Nikolaos P. E. Kadoglou, Marialena Trivella, on behalf of the proBHF group
Publikováno v:
Diagnostic and Prognostic Research, Vol 4, Iss 1, Pp 1-9 (2020)
Abstract Background Heart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highli
Externí odkaz:
https://doaj.org/article/4e26b098f41a42d1adc14269b31a6a31
Autor:
Bob Sturm, Hugo Maruri-Aguilar
Publikováno v:
Journal of Creative Music Systems, Vol 5, Iss 1 (2021)
This article describes and analyses the Ai Music Generation Challenge 2020, where seven participants competed to build artificial systems that generate the most plausible double jigs, as judged against the 365 published in The Dance Music of Ireland:
Externí odkaz:
https://doaj.org/article/e81e867c3b454d36b06b3c27306761ab
Autor:
Hugo Maruri-Aguilar, Henry Wynn
In numerical analysis, sparse grids are point configurations used in stochastic finite element approximation, numerical integration and interpolation. This paper is concerned with the construction of polynomial interpolator models in sparse grids. Ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4ceff57fc84015f535d818251f5b038
http://eprints.lse.ac.uk/118748/
http://eprints.lse.ac.uk/118748/
Autor:
Clare J Taylor, Vazquez-Montes Mdla., Nicholas R Jones, Emmanuella Magriplis, Hugo Maruri-Aguilar, J Parissis, Hobbs Fdrr., Marialena Trivella, Kathryn Mary Taylor, Moons Kgm., Gary S. Collins, Rafael Perera, Debray Tpa., Kadoglou Npe., Benjamin Speich, Nia Roberts
Publikováno v:
Diagnostic and Prognostic Research, Vol 4, Iss 1, Pp 1-9 (2020)
Diagnostic and Prognostic Research
Diagnostic and Prognostic Research
BackgroundHeart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highlight the ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f02937dcbde07ab431301ed3d827e89
http://link.springer.com/article/10.1186/s41512-020-00081-4
http://link.springer.com/article/10.1186/s41512-020-00081-4
Publikováno v:
Journal of Statistical Planning and Inference. 154:3-11
Smooth supersaturated models are interpolation models in which the underlying model size, and typically the degree, is higher than would normally be used in statistics, but where the extra degrees of freedom are used to make the model smooth using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc61ec98f96384828f5b64173a1ee2c8
https://doi.org/10.1016/j.jspi.2013.11.014
https://doi.org/10.1016/j.jspi.2013.11.014
Publikováno v:
Queueing Systems. 79:365-390
We examine the optimal design of measurements on queues with particular reference to the M/M/1 queue. Using the statistical theory of design of experiments, we calculate numerically the Fisher information matrix for an estimator of the arrival rate a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba7cf2423668d5addcf52de91141cfa1
https://doi.org/10.1007/s11134-014-9421-y
https://doi.org/10.1007/s11134-014-9421-y
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:1337-1347
Calibration of stochastic traffic microsimulation models is a challenging task. This paper proposes a fast iterative probabilistic precalibration framework and demonstrates how it can be successfully applied to a real-world traffic simulation model o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2209c543d4d0d8eca1f12202e3a4064a
https://doi.org/10.1109/tits.2014.2304394
https://doi.org/10.1109/tits.2014.2304394
Autor:
Hugo Maruri-Aguilar, Peter R. Curtis
Publikováno v:
mODa 11-Advances in Model-Oriented Design and Analysis ISBN: 9783319312644
Smooth supersaturated models are a modelling alternative for computer experiments. They are polynomial models that behave like splines and allow fast computations. In this contribution we use a boxing approach together with Gram-Schmidt orthogonaliza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7511e7fd162d927ed25d88f82592f57
https://doi.org/10.1007/978-3-319-31266-8_9
https://doi.org/10.1007/978-3-319-31266-8_9
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 64:411-426
Polynomial models, in statistics, interpolation and other fields, relate an output ? to a set of input variables (factors), x?=?(x 1,..., x d ), via a polynomial ?(x 1,...,x d ). The monomials terms in ?(x) are sometimes referred to as "main effect"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a62f3cddd09c46faf067a53f2fc712af
https://doi.org/10.1007/s10472-012-9295-9
https://doi.org/10.1007/s10472-012-9295-9
Publikováno v:
Annals of the Institute of Statistical Mathematics. 62:673-698
For a particular experimental design, there is interest in finding which polynomial models can be identified in the usual regression set up. The algebraic methods based on Grobner bases provide a systematic way of doing this. The algebraic method doe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de5453b38e9c99703dfa336262c6c973
https://doi.org/10.1007/s10463-010-0291-8
https://doi.org/10.1007/s10463-010-0291-8