Results 41 to 50 of about 6,487,763 (293)

Modeling perspective for the relevant market of voice services: Mobile to Mobile

open access: yesMaskana, 2015
The markets, associated to -mobile to mobile- services of voice, in Advanced Mobile Telecommunications services in Latin America have been subject to dominant operator regulatory processes, which are necessary to attain the market conditions for optimal ...
O. Lucía Quintero   +2 more
doaj   +1 more source

Stiffness Modulus and Marshall Parameters of Hot Mix Asphalts: Laboratory Data Modeling by Artificial Neural Networks Characterized by Cross-Validation

open access: yesApplied Sciences, 2019
The present paper discusses the analysis and modeling of laboratory data regarding the mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by means of artificial neural networks (ANNs).
Nicola Baldo   +2 more
doaj   +1 more source

The Impact of Test and Sample Characteristics on Model Selection and Classification Accuracy in the Multilevel Mixture IRT Model

open access: yesFrontiers in Psychology, 2020
The standard item response theory (IRT) model assumption of a single homogenous population may be violated in real data. Mixture extensions of IRT models have been proposed to account for latent heterogeneous populations, but these models are not ...
Sedat Sen, Allan S. Cohen
doaj   +1 more source

Optimal Neighborhood Selection for AR-ARCH Random Fields with Application to Mortality

open access: yesStats, 2021
This article proposes an optimal and robust methodology for model selection. The model of interest is a parsimonious alternative framework for modeling the stochastic dynamics of mortality improvement rates introduced recently in the literature.
Paul Doukhan   +2 more
doaj   +1 more source

Information criteria for astrophysical model selection [PDF]

open access: yes, 2007
Model selection is the problem of distinguishing competing models, perhaps featuring different numbers of parameters. The statistics literature contains two distinct sets of tools, those based on information theory such as the Akaike Information ...
Liddle, Andrew R
core   +2 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

A guidance of model selection for genomic prediction based on linear mixed models for complex traits

open access: yesFrontiers in Genetics, 2022
Brain imaging outcomes are important for Alzheimer’s disease (AD) detection, and their prediction based on both genetic and demographic risk factors can facilitate the ongoing prevention and treatment of AD.
Jiefang Duan   +4 more
doaj   +1 more source

Active Model Selection

open access: yesCoRR, 2012
Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004)
Omid Madani   +2 more
openaire   +3 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie   +4 more
wiley   +1 more source

Estimation of Beta-Pareto Distribution Based on Several Optimization Methods

open access: yesMathematics, 2020
This paper is concerned with the maximum likelihood estimators of the Beta-Pareto distribution introduced in Akinsete et al. (2008), which comes from the mixing of two probability distributions, Beta and Pareto.
Badreddine Boumaraf   +2 more
doaj   +1 more source

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