Results 41 to 50 of about 427,932 (198)
Journal of Orthopaedic Surgery and ResearchBackground Total knee arthroplasty (TKA) demand is increasing globally, necessitating the optimization of hospital length of stay (LOS) to increase efficiency.
Yinping Liu +3 more
doaj +1 more source
Estimating test-day milk yields by modeling proportional daily yields: Going beyond linearity
Journal of Dairy Science, 2023 : In the United States, lactation milk yields are not measured directly but are calculated from the test-day milk yields. Still, test-day milk yields are estimated from partial yields obtained from single milkings.
Xiao-Lin Wu +8 more
doaj +1 more source
Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach [PDF]
, 2009 In non-linear system identification, the available observed data are conventionally partitioned into two parts: the training data that are used for model identification and the test data that are used for model performance testing. This sort of 'hold-out'
Aguirre LA +17 more
core +2 more sources
Functional additive regression
, 2015 We suggest a new method, called Functional Additive Regression, or FAR, for efficiently performing high-dimensional functional regression. FAR extends the usual linear regression model involving a functional predictor, $X(t)$, and a scalar response, $Y$,
Fan, Yingying +2 more
core +1 more source
Detection of nonlinearity, discontinuity and interactions in generalized regression models
Statistical ModellingIn generalized regression models, the effect of continuous covariates is commonly assumed to be linear. This assumption, however, may be too restrictive in applications and may lead to biased effect estimates and decreased predictive ability. While a multitude of alternatives for the flexible modelling of continuous covariates have been proposed ...
Spuck, Nikolai +2 more
openaire +2 more sources
Large-scale Nonlinear Variable Selection via Kernel Random Features
, 2018 We propose a new method for input variable selection in nonlinear regression. The method is embedded into a kernel regression machine that can model general nonlinear functions, not being a priori limited to additive models.
A Beck +20 more
core +1 more source
NARX-based nonlinear system identification using orthogonal least squares basis hunting [PDF]
, 2008 An orthogonal least squares technique for basis hunting (OLS-BH) is proposed to construct sparse radial basis function (RBF) models for NARX-type nonlinear systems.
Chen, Sheng +2 more
core +1 more source
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression
IEEE Access, 2018 Projection regression is an important tool for process soft sensing in order to eliminate redundant information and obtain proper data features. As most industrial process is intrinsically nonlinear and process variables are collected in random noise environment, it is significant to adopt probabilistic nonlinear latent variable model to carry out ...
Xiaofeng Yuan +2 more
openaire +2 more sources
Frontiers in NutritionBackgroundHigher intake of antioxidants is associated with reduced risk of various chronic diseases. However, the relationship between composite dietary antioxidants and frailty has not been characterized, especially in neurodegenerative conditions like ...
Zhaohao Zeng +21 more
doaj +1 more source
Advanced Science, 2019 Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology‐based guidelines to select the healthiest‐looking sperm ...
Yihe Wang +10 more
doaj +1 more source