Results 31 to 40 of about 127,829 (293)

GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion

Scientific Journal of Informatics, 2018
The completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data.
Mochamad Aryono Adhi, Wahyudi Wahyudi, Wiwit Suryanto, Muh Sarkowi   +3 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

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

Optimizing for Generalization in Machine Learning with Cross-Validation Gradients

CoRR, 2018
11 ...
Shane T. Barratt, Rishi Sharma 0005
openaire   +2 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

Penalized likelihood estimation and iterative kalman smoothing for non-gaussian dynamic regression models [PDF]

, 1995
Dynamic regression or state space models provide a flexible framework for analyzing non-Gaussian time series and longitudinal data, covering for example models for discrete longitudinal observations.
Fahrmeir, Ludwig, Wagenpfeil, Stefan
core   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +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

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

, 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