Sentence examples for model for discrete from inspiring English sources
A genetic algorithm is designed to solve the general maximum entropy model for discrete fuzzy variables, which is illustrated by some numerical experiments.
Moreover, Aujol and Chambolle proposed a model for discrete three-part decomposition (see (6.59) in [3]) which measures texture by the G-norm and noise by the supremum norm of wavelet coefficients and the penalty method for the constraint.
We present a case study using the negative binomial regression model for discrete outcome data arising from a clinical trial designed to evaluate the effectiveness of a prehabilitation program in preventing functional decline among physically frail, community-living older persons.
It is further shown how these three types of simulation models can be integrated into one value system model for discrete event simulation, making use of the ExSpecT simulation tool.
A subgrid particle, normal stress model for discrete particles which is robust and eliminates the need for an implicit calculation of the particle normal stress on the grid is presented.
G3PD: A model for discrete three-part decomposition of fingerprint images has recently been proposed by Thai and Gottschlich in 2015 [25] with the aim of obtaining a texture image v which serves as a useful feature for estimating the region of interest (ROI).
The author proposes a novel state-space signal model for discrete-time Boolean dynamical systems, which includes as special cases distinct Boolean models, one of them being the PBN model.
Thus generalized linear models for discrete responses typically involve conditional mean estimation using both known predictors, and random effects to represent unknown covariates or overdispersion.
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental design applied to generalised non-linear models for discrete data.
Empirical evidence is obtained from a sample of faculty from the Valencian Community (Spain) and analysed through a set of models for discrete choice.
The odds ratios of variables including SES were estimated by SURVEYLOGISTIC regression analyses, which fit linear logistic regression models for discrete response survey data by using the maximum likelihood methods.
