Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thi Le Thu Nguyen"'
Publikováno v:
Journal of English Language Teaching and Applied Linguistics. 3:45-51
his article presents the results of a study designed to measure the evaluation of learners on an online English course. A survey questionnaire was distributed to 20-course attendees, who are tourism workers in Ninh Binh province. The results of the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f86a4d56163663cac6b26a683f7353
https://doi.org/10.32996/jeltal.2021.3.11.6
https://doi.org/10.32996/jeltal.2021.3.11.6
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TSP.2015.2504342⟩
IEEE Transactions on Signal Processing, 2016, ⟨10.1109/TSP.2015.2504342⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TSP.2015.2504342⟩
IEEE Transactions on Signal Processing, 2016, ⟨10.1109/TSP.2015.2504342⟩
In many problems, complex non-Gaussian and/or nonlinear models are required to accurately describe a physical system of interest. In such cases, Monte Carlo algorithms are remarkably flexible and extremely powerful approaches to solve such inference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4c0c0c9a8116ca98dd4b8c521b63f64
https://hal-imt.archives-ouvertes.fr/hal-01238933
https://hal-imt.archives-ouvertes.fr/hal-01238933
Publikováno v:
2014 IEEE Workshop on Statistical Signal Processing (SSP 14)
2014 IEEE Workshop on Statistical Signal Processing (SSP 14), Jun 2014, Gold Coast, Australia. pp.1-4
SSP
2014 IEEE Workshop on Statistical Signal Processing (SSP 14), Jun 2014, Gold Coast, Australia. pp.1-4
SSP
International audience; Sequential Monte Carlo (SMC) methods are not only a popular tool in the analysis of state-space models, but offer a powerful alternative to Markov chain Monte Carlo (MCMC) in situations where static Bayesian inference must be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b16b2ed052864de7b36e0aa1a52b0ac
https://hal-imt.archives-ouvertes.fr/hal-01007551
https://hal-imt.archives-ouvertes.fr/hal-01007551
Akademický článek
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Akademický článek
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Publikováno v:
21st European Signal Processing Conference (EUSIPCO 2013); 2013, p1-5, 5p
Publikováno v:
Heriot-Watt University
21st European Signal Processing Conference (EUSIPCO)
21st European Signal Processing Conference (EUSIPCO), Sep 2013, Marrakech, Morocco. pp.1-5
21st European Signal Processing Conference (EUSIPCO)
21st European Signal Processing Conference (EUSIPCO), Sep 2013, Marrakech, Morocco. pp.1-5
International audience; Penalized regression methods have received a great deal of attention in recent years, mostly through frequentist models using l1-regularization. However, all existing works assume that the design matrix, that links the explana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a037d62ab0fc3a520764cfb82555687
https://researchportal.hw.ac.uk/en/publications/2ad5de09-e0a2-4fc7-be80-bad67794d451
https://researchportal.hw.ac.uk/en/publications/2ad5de09-e0a2-4fc7-be80-bad67794d451