Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Maria Lomeli"'
Autor:
Sejdinovic, Dino, Strathmann, Heiko, Garcia, Maria Lomeli, Andrieu, Christophe, Gretton, Arthur
A Kernel Adaptive Metropolis-Hastings algorithm is introduced, for the purpose of sampling from a target distribution with strongly nonlinear support. The algorithm embeds the trajectory of the Markov chain into a reproducing kernel Hilbert space (RK
Externí odkaz:
http://arxiv.org/abs/1307.5302
Autor:
S. Lucas, Johann George, Silvia Sapora, Mark Harman, Erik Meijer, Natalija Gucevska, R. Rojas, Maria Lomeli, Inna Dvortsova, Kinga Bojarczuk
Publikováno v:
ESEM
A cyber cyber digital twin is a deployed software model that executes in tandem with the system it simulates, contributing to, and drawing from, the system's behaviour. This paper outlines Facebook's cyber cyber digital twin, dubbed WW, a twin of Fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c479cad866e3e658b45e707fc89f6e8
https://doi.org/10.1145/3475716.3484196
https://doi.org/10.1145/3475716.3484196
Publikováno v:
Statistics and Computing. 29:1127-1147
In the modern age, rankings data are ubiquitous and they are useful for a variety of applications such as recommender systems, multi-object tracking and preference learning. However, most rankings data encountered in the real world are incomplete, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c8cde1b0fec08034801c124b2be9e7
https://doi.org/10.1007/s11222-019-09859-z
https://doi.org/10.1007/s11222-019-09859-z
Autor:
Erik Meijer, Inna Dvortsova, Steve Omohundro, Silvia Sapora, Johann George, Simon M. M. Lucas, Natalija Gucevska, Maria Lomeli, Kinga Bojarczuk, Sophia Drossopoulou, John Ahlgren, Norm Zhou, Mark Harman, Rubmary Rojas
Publikováno v:
EASE
A cyber–cyber digital twin is a simulation of a software system. By contrast, a cyber–physical digital twin is a simulation of a non-software (physical) system. Although cyber–physical digital twins have received a lot of recent attention, thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7388118e5a511b696ca956d11e43353a
https://doi.org/10.1145/3463274.3463275
https://doi.org/10.1145/3463274.3463275
Autor:
Mark Harman, Elena Dulskyte, Inna Dvortsova, Maria Eugenia Berezin, Justin Spahr-Summers, Silvia Sapora, Erik Meijer, Natalija Gucevska, Johann George, John Ahlgren, Maria Lomeli, Kinga Bojarczuk
Publikováno v:
ICSE (SEIP)
We report on Facebook's deployment of MIA (Metamorphic Interaction Automaton). MIA is used to test Facebook's Web Enabled Simulation, built on a web infrastructure of hundreds of millions of lines of code. MIA tackles the twin problems of test flakin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bc148cc89c11604915bc7d778d66312
https://doi.org/10.1109/icse-seip52600.2021.00023
https://doi.org/10.1109/icse-seip52600.2021.00023
Autor:
Víctor Manuel Rosario Muñoz, David Elicerio Conchas, Oscar Zaragoza Vega, Gerardo Alberto Varela Navarro, Luz María Lomelí Urquieta, Javier Espinoza de los Monteros Cárdenas
Libro que recoge la experiencia institucional de la Universidad de Guadalajara respecto de la formación de sus docentes, la implementación y operación de la plataforma virtual, las experiencias educativas de sus tutores virtuales y la percepción
Publikováno v:
Statistics and Computing. 25:67-78
We investigate the use of a large class of discrete random probability measures, which is referred to as the class $$\mathcal {Q}$$Q, in the context of Bayesian nonparametric mixture modeling. The class $$\mathcal {Q}$$Q encompasses both the the two-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78a8c4e697f72dc220e62eb8c055a7bb
https://doi.org/10.1007/s11222-014-9499-4
https://doi.org/10.1007/s11222-014-9499-4
Publikováno v:
Journal of Computational and Graphical Statistics. 26(1)
We investigate the class of $\sigma$-stable Poisson-Kingman random probability measures (RPMs) in the context of Bayesian nonparametric mixture modeling. This is a large class of discrete RPMs which encompasses most of the the popular discrete RPMs u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::964daa07f618cd0ac5f533f938f7662c
http://ora.ox.ac.uk/objects/uuid:
http://ora.ox.ac.uk/objects/uuid:
Autor:
Hector Garcia-Bejarano, A.N.A. Maria Lomeli, Norma M. Ruiz-Morales, Guillermo Garcia-Garcia, Imelda Hernandez Reyes, Laura Cortés-Sanabria, M Palomeque, Benjamín Gómez-Navarro, Hugo Breien-Alcaraz, J. Francisco Monteon-Ramos
Publikováno v:
Kidney International. 68:S58-S61
Renal replacement therapy among disadvantaged populations in Mexico: A report from the Jalisco Dialysis and Transplant Registry (REDTJAL).BackgroundEnd-stage renal disease represents a serious public health problem in Jalisco, Mexico. It is reported
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ecd80be936d7113bbd92bf51b7e4b68
Publikováno v:
Electron. J. Statist. 8, no. 1 (2014), 1063-1085
In this paper we investigate the stick-breaking representation for the class of $\sigma$-stable Poisson-Kingman models, also known as Gibbs-type random probability measures. This class includes as special cases most of the discrete priors commonly us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d84e25ee2ea558dca071ab37c8765745
http://hdl.handle.net/2318/155547
http://hdl.handle.net/2318/155547