Zobrazeno 1 - 10
of 1 805
pro vyhledávání: '"Gauss model"'
Autor:
Abdalla, Pedro, Kur, Gil
Quantifying uncertainty in high-dimensional sparse linear regression is a fundamental task in statistics that arises in various applications. One of the most successful methods for quantifying uncertainty is the debiased LASSO, which has a solid theo
Externí odkaz:
http://arxiv.org/abs/2402.16764
Akademický článek
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It is no doubt that the most important contributing cause of global efficiency of coal fired thermal systems is combustion efficiency. In this study, the relationship between the flame image obtained by a CCD camera and the excess air coefficient ({\
Externí odkaz:
http://arxiv.org/abs/2108.04180
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 2, Pp 1079-1089 (2022)
It is no doubt that the most important contributing cause of global efficiency of coal fired thermal systems is combustion efficiency. In this study, the relationship between the flame image obtained by a CCD camera and the excess air coefficient (λ
Externí odkaz:
https://doaj.org/article/ad9ad5c978a540169f91b873091c4d3a
Publikováno v:
In Alexandria Engineering Journal February 2022 61(2):1079-1089
Akademický článek
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Publikováno v:
Physics, Vol 2, Iss 2, Pp 197-212 (2020)
We study a Gauss model (GM), a map from time to the bell-shaped Gaussian function to model the deaths per day and country, as a simple, analytically tractable model to make predictions on the coronavirus epidemic. Justified by the sigmoidal nature of
Externí odkaz:
https://doaj.org/article/48517dbc73fd4769ae0d818f0f931936
Autor:
Shashua, Amnon, Pragier, Gabi
We present a new latent-variable model employing a Gaussian mixture integrated with a feature selection procedure (the Bernoulli part of the model) which together form a "Latent Bernoulli-Gauss" distribution. The model is applied to MAP estimation, c
Externí odkaz:
http://arxiv.org/abs/1007.0660
Autor:
Kaufman, Miron, Diep, H. T.
We study a statistical mechanics model of a solid. Neighboring atoms are connected by Hookian springs. If the energy is larger than a threshold the "spring" is more likely to fail, while if the energy is lower than the threshold the spring is more li
Externí odkaz:
http://arxiv.org/abs/0711.2183
Publikováno v:
Experimental Astronomy. Aug2013, Vol. 36 Issue 1/2, p1-19. 19p.