Results 31 to 40 of about 5,783,771 (297)

KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV)

Barekeng
Nonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship.
Andre Fajry Al Barra, Dewi Retno Sari Saputro   +1 more
doaj   +1 more source

Geographically weighted generalized poisson regression model with the best kernel function in the case of the number of postpartum maternal mortality in east java

MethodsX, 2023
This study proposes a Geographically Weighted Generalized Poisson Regression (GWGPR) model with the best kernel function to obtain a model of the number of postpartum maternal mortality in East Java Province in 2020 and determine the factors that affect ...
Sischa Wahyuning Tyas, Gunardi, Lila Aryani Puspitasari   +2 more
doaj   +1 more source

Analysis of Variance of Cross-Validation Estimators of the Generalization Error

J. Mach. Learn. Res., 2005
This paper brings together methods from two different disciplines: statistics and machine learning. We address the problem of estimating the variance of cross-validation (CV) estimators of the generalization error. In particular, we approach the problem of variance estimation of the CV estimators of generalization error as a problem in approximating ...
Markatou, Marianthi, Tian, Hong, Biswas, Shameek, Hripcsak, George M.   +3 more
openaire   +3 more sources

Correntropy–based density–preserving data sampling as an alternative to standard cross–validation [PDF]

, 2010
Estimation of the generalization ability of a predictive model is an important issue, as it indicates expected performance on previously unseen data and is also used for model selection.
Gabrys, Bogdan, Bogdan Gabrys, Budka, Marcin, Marcin Budka   +3 more
core   +1 more source

Cross-validation of the general neuropsychological deficit scale (GNDS)

Archives of Clinical Neuropsychology, 1995
Sherer and Adams (1993) reported "limited support" for the validity of Reitan and Wolfson's (1988) Neuropsychological Deficit Scales. The present study was designed to cross-validate one of these scales--the General Neuropsychological Deficit Scale (GNDS).
D, Wolfson, R M, Reitan
openaire   +3 more sources

Evaluation of Fifteen Algorithms for the Resolution of the Electrocardiography Imaging Inverse Problem Using ex-vivo and in-silico Data

Frontiers in Physiology, 2018
The electrocardiographic imaging inverse problem is ill-posed. Regularization has to be applied to stabilize the problem and solve for a realistic solution. Here, we assess different regularization methods for solving the inverse problem.
Amel Karoui, Amel Karoui, Amel Karoui, Laura Bear, Pauline Migerditichan, Pauline Migerditichan, Nejib Zemzemi, Nejib Zemzemi, Nejib Zemzemi   +8 more
doaj   +1 more source

Validation of the Generalized Anxiety Disorder-7 in patients with COPD: a cross-sectional study

BMC Psychiatry, 2023
Background Patients with chronic obstructive pulmonary disease (COPD) often have comorbid generalized anxiety disorder (GAD), which requires early screening in respiratory clinics.
Meishan Liu, Dong Wang, Jiexin Fang, Yuhan Chang, Yongdong Hu, Kewu Huang   +5 more
doaj   +1 more source

penalized: A MATLAB Toolbox for Fitting Generalized Linear Models with Penalties

Journal of Statistical Software, 2016
penalized is a flexible, extensible, and efficient MATLAB toolbox for penalized maximum likelihood. penalized allows you to fit a generalized linear model (gaussian, logistic, poisson, or multinomial) using any of ten provided penalties, or none.
William McIlhagga
doaj   +1 more source

Optimizing for Generalization in Machine Learning with Cross-Validation Gradients

CoRR, 2018
11 ...
Shane T. Barratt, Rishi Sharma 0005
openaire   +3 more sources

RomainBey/stratified-cross-validation: pre-print code

, 2020
This release contains the code used to run the simulations of the pre-print version of the article "stratified cross-validation for privacy-preserving federated learning"
Romain Bey
core   +1 more source