Results 71 to 80 of about 2,173,075 (279)
Random regression analyses using B-splines to model growth of Australian Angus cattle
Genetics Selection Evolution, 2005 Regression on the basis function of B-splines has been advocated as an alternative to orthogonal polynomials in random regression analyses. Basic theory of splines in mixed model analyses is reviewed, and estimates from analyses of weights of Australian ...
Meyer Karin
doaj +1 more source
Risk bounds for purely uniformly random forests [PDF]
, 2010 Random forests, introduced by Leo Breiman in 2001, are a very effective statistical method. The complex mechanism of the method makes theoretical analysis difficult.
Genuer, Robin
core +3 more sources
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
, 2021 Random Forests (Breiman, 2001) is a successful and widely used regression and classification algorithm. Part of its appeal and reason for its versatility is its (implicit) construction of a kernel-type weighting function on training data, which can also ...
Bühlmann, Peter +4 more
core
Alcohol‐induced altered glycans in human tracheal epithelial cells promote bacterial adhesion
FEBS Open Bio, EarlyView.Alcohol induces altered glycans to promote bacteria adhesion. Heavy alcohol drinking is known to increase the risk of bacterial pneumonia. However, the link between alcohol levels and risk of infection remains underexplored. Recently, we found that alcohol induced α2‐6sialo mucin O‐glycans in human tracheobronchial epithelial cells, which mediated the ...
Pi‐Wan Cheng +2 more
wiley +1 more source
Polynomials to model the growth of young bulls in performance tests
Animal, 2014 The use of polynomial functions to describe the average growth trajectory and covariance functions of Nellore and MA (21/32 Charolais+11/32 Nellore) young bulls in performance tests was studied.
D.C.B. Scalez +4 more
doaj +1 more source
The consistency of estimator under fixed design regression model with NQD errors
, 2013 In this article, basing on NQD samples, we investigate the fixed design nonparametric regression model, where the errors are pairwise NQD random errors, with fixed design points, and an unknown function.
Chen, Xiao-ping +2 more
core +1 more source
FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Multimodal random forest based tensor regression
IET Computer Vision, 2014 This study presents a method, called random forest based tensor regression, for real‐time head pose estimation using both depth and intensity data. The method builds on random forests and proposes to train and use tensor regressors at each leaf node of ...
Sertan Kaymak, Ioannis Patras
doaj +1 more source
FEBS Open Bio, EarlyView.Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane +11 more
wiley +1 more source
New Flexible Regression Models Generated by Gamma Random Variables with Censored Data [PDF]
, 2016 We propose and study a new log-gamma Weibull regression model. We obtain explicit expressions for the raw and incomplete moments, quantile and generating functions and mean deviations of the log-gamma Weibull distribution.
Cordeiro, Gauss M. +3 more
core +1 more source