Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Aifen Feng"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 55, Iss , Pp 101731- (2024)
In this paper, we study the high-dimensional varying coefficient partially linear model and proposes a variable parameter selection method combined with elastic network. The two-stage estimation method is adopted and the alternating direction multipl
Externí odkaz:
https://doaj.org/article/2082bb47bc8f4046b4fae93b81b54188
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4220 (2023)
This paper mainly studies the application of the linearized alternating direction method of multiplier (LADMM) and the accelerated symmetric linearized alternating direction method of multipliers (As-LADMM) for high dimensional partially linear model
Externí odkaz:
https://doaj.org/article/ea31113d6a3248bf9bdb034d669b6fac
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2726 (2023)
In this paper, a partially linear model based on the fused lasso method is proposed to solve the problem of high correlation between adjacent variables, and then the idea of the two-stage estimation method is used to study the solution of this model.
Externí odkaz:
https://doaj.org/article/c8c3e4f1ad8c43fa98b8e1bf8a6c6857
Publikováno v:
Mathematics, Vol 11, Iss 8, p 1863 (2023)
We adopt the alternating direction search pattern method to solve the equality and inequality constrained nonlinear optimization problems. Firstly, a new augmented Lagrangian function with a nonlinear complementarity function is proposed to transform
Externí odkaz:
https://doaj.org/article/bfceb48ecb7e4078982798fe1816248e
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4767 (2022)
This paper focuses on a high-dimensional semi-parametric regression model in which a partially linear model is used for the parametric part and the B-spline basis function approach is used to estimate the unknown function for the non-parametric part.
Externí odkaz:
https://doaj.org/article/388b7c2095ca41cd91e77ca6b5d3d05b
Publikováno v:
Mathematics; Volume 11; Issue 12; Pages: 2726
In this paper, a partially linear model based on the fused lasso method is proposed to solve the problem of high correlation between adjacent variables, and then the idea of the two-stage estimation method is used to study the solution of this model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::c7274eb944058eb43208d771c8bb4075
Publikováno v:
AEU - International Journal of Electronics and Communications. 70:1128-1133
Total variation method has been widely used in image processing. However, it produces undesirable staircase effect. To alleviate the staircase effect, some fourth order variational models were studied, which lead to the restored images smoothing and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22936dfe6d1a33422c95e06dcd199b71
https://doi.org/10.1016/j.aeue.2016.05.008
https://doi.org/10.1016/j.aeue.2016.05.008
Publikováno v:
Neurological Sciences. 37:1525-1529
The aim of this study was to evaluate the association between cerebrospinal fluid (CSF) levels of free fatty acid (FFA) and functional outcome and stroke recurrence in patients with ischemic stroke. In a prospective study, CSF levels of FFA were meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd381bdf06c711fb37b1501a26aca20b
https://doi.org/10.1007/s10072-016-2623-9
https://doi.org/10.1007/s10072-016-2623-9
Publikováno v:
Research Journal of Applied Sciences, Engineering and Technology. 5:1583-1588
A graph X is said to be End-regular if its endomorphism monoid End (X) is a regular semigroup. In this study, End-regular graphs which are the join of n split graphs are characterized. We give the conditions under which the endomorphism monoid of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8f3ec2fcf5d45f25cd723b164db2134
https://doi.org/10.19026/rjaset.5.4908
https://doi.org/10.19026/rjaset.5.4908
Publikováno v:
Mathematics and Computers in Simulation. 80:1911-1921
This paper presents a fuzzy rough semi-supervised outlier detection (FRSSOD) approach with the help of some labeled samples and fuzzy rough C-means clustering. This method introduces an objective function, which minimizes the sum squared error of clu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10b8e13748e4cf85661460ad007fcc6b
https://doi.org/10.1016/j.matcom.2010.02.007
https://doi.org/10.1016/j.matcom.2010.02.007