Results 141 to 150 of about 63,550 (174)

Cholestasis-reducing effects of bezafibrate on survivors of biliary atresia with native livers: A prospective phase II trial. [PDF]

Hepatol Commun
Kawaguchi Y, Terui K, Fumita T, Shibata R, Yoshizawa H, Ogasawara S, Kondo T, Ozawa Y, Inaba Y, Hishiki T.   +9 more
europepmc   +1 more source

Maternal slow-release nitrogen diets during late gestation optimize the energy metabolism in calves' skeletal muscle. [PDF]

PLoS One
Costa TC, Cediel-Devia DC, Ramirez-Zamudio GD, Nascimento KB, Gionbelli MP, Duarte MS.   +5 more
europepmc   +1 more source

Clear niche partitioning of nitrite-oxidizing bacteria from the bottom and the slope of Mariana Trench. [PDF]

Microbiome
Lv Y, Zhang L, Zhang Y.
europepmc   +1 more source

Effects of different mulching practices on soil properties and soil microbial communities in tomato production. [PDF]

Front Microbiol
Li X, Cao J, Li D, Jin K, Liu Y, Li W.
europepmc   +1 more source

Targeted long-read methylation analysis using hybridization capture suitable for clinical specimens. [PDF]

Cell Rep Methods
Kunigo K, Nagasawa S, Kajiya K, Sakamoto Y, Zaha S, Kuze Y, Kanai A, Nomura K, Tsuboi M, Ishii G, Motoyoshi A, Tsugawa K, Chosokabe M, Koike J, Suzuki A, Suzuki Y, Seki M.   +16 more
europepmc   +1 more source

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Adaptive choice of trimming proportion in trimmed least-squares estimation

Statistics & Probability Letters, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dodge, Yadolah, Jurečková, Jana
openaire   +2 more sources

On least trimmed squares neural networks

Neurocomputing, 2015
In this paper, least trimmed squares (LTS) estimators, frequently used in robust (or resistant) linear parametric regression problems, will be generalized to nonparametric LTS neural networks for nonlinear regression problems. Emphasis is put particularly on the robustness against outliers.
Yih-Lon Lin, Jer-Guang Hsieh, Jyh-Horng Jeng, Wen-Chin Cheng   +3 more
openaire   +1 more source

Least Trimmed Squares for Regression Models with Stable Errors

Fluctuation and Noise Letters, 2023
Least Trimmed Squares (LTS) is a robust regression method with respect to outliers. It is based on performing Ordinary Least Squares (OLS) estimates on sub-datasets and determining the optimal solution corresponding to the minimum sum of squared residuals. Since the method of LTS is based on OLS, errors in regression models have finite variance.
Mohammad Bassam Shiekh Albasatneh, Adel Mohammadpour   +1 more
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Adaptive least trimmed squares fuzzy neural network

2012 International conference on Fuzzy Theory and Its Applications (iFUZZY2012), 2012
In this paper, we propose the adaptive least trimmed squares fuzzy neural network (ALTS-FNN), which applies the scale estimate to the least trimmed squares fuzzy neural network (LTS-FNN). The emphasis of this paper is particular on the robustness against the outliers and the choice of the trimming constant can be determined adaptively.
Jyh-Yeong Chang, Shih-Hui Liao, Chin-Teng Lin   +2 more
openaire   +1 more source