Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Caiado, Camila"'
Publikováno v:
International Journal of Approximate Reasoning 133 (2021) 95-115
$\Gamma$-maximin, $\Gamma$-maximax and inteval dominance are familiar decision criteria for making decisions under severe uncertainty, when probability distributions can only be partially identified. One can apply these three criteria by solving sequ
Externí odkaz:
http://arxiv.org/abs/2103.12423
Maximality, interval dominance, and E-admissibility are three well-known criteria for decision making under severe uncertainty using lower previsions. We present a new fast algorithm for finding maximal gambles. We compare its performance to existing
Externí odkaz:
http://arxiv.org/abs/1906.12215
Publikováno v:
International Journal of Approximate Reasoning 106 (2019) 128-145
In the UK betting market, bookmakers often offer a free coupon to new customers. These free coupons allow the customer to place extra bets, at lower risk, in combination with the usual betting odds. We are interested in whether a customer can exploit
Externí odkaz:
http://arxiv.org/abs/1901.03645
Publikováno v:
International Journal of Approximate Reasoning 101 (2018) 293-310
We review the simplex method and two interior-point methods (the affine scaling and the primal-dual) for solving linear programming problems for checking avoiding sure loss, and propose novel improvements. We exploit the structure of these problems t
Externí odkaz:
http://arxiv.org/abs/1808.03076
Publikováno v:
Biblioteca Digital de Teses e Dissertações do MackenzieUniversidade Presbiteriana MackenzieMACKENZIE.
Submitted by Marta Toyoda (1144061@mackenzie.br) on 2016-12-13T22:31:06Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Camila de Melo Cavalcante Caiado.pdf: 1052753 bytes, checksum: 753400e7662b1942c244b7
Externí odkaz:
http://tede.mackenzie.br/jspui/handle/tede/2941
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Quantifying uncertainty in models derived from observed seismic data is an important issue in exploration geophysics. In this research we examine the geological structure of the subsurface of the Earth using controlled source seismology which consist
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546657
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Li, Yang, Zhang, Shuang, Hobbs, Richard, Caiado, Camila, Sproson, Adam D., Selby, David, Rooney, Alan D.
Publikováno v:
In Science Bulletin 15 February 2019 64(3):189-197
Autor:
Formentin, Helena Nandi, Almeida, Forlan la Rosa, Avansi, Guilherme Daniel, Maschio, Célio, Schiozer, Denis J., Caiado, Camila, Vernon, Ian, Goldstein, Michael
Publikováno v:
In Journal of Petroleum Science and Engineering February 2019 173:1080-1096