Results 261 to 270 of about 3,798,889 (297)
Some of the next articles are maybe not open access.
A threshold model for polydactyly
Progress in Biophysics and Molecular Biology, 2018We present a cellular automaton-based model for threshold behaviors in vertebrate digit patterning and polydactyly formation. The rules of the model follow classical reactor-diffusion algorithms. Yet it is not physical diffusion that is taken as the required natural agent but the propagation of cellular states, which can be represented by the same ...
Lange, Axel +2 more
openaire +2 more sources
Modeling claim exceedances over thresholds
Insurance: Mathematics and Economics, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boutsikas, M. V., Koutras, M. V.
openaire +2 more sources
Threshold Models in Radiation Carcinogenesis
Health Physics, 1998Cancer incidence and mortality data from the atomic bomb survivors cohort has been analyzed to allow for the possibility of a threshold dose response. The same dose-response models as used in the original papers were fit to the data. The estimated cancer incidence from the fitted models over-predicted the observed cancer incidence in the lowest ...
D G, Hoel, P, Li
openaire +2 more sources
Journal of Mathematical Psychology, 1991
Pour traduire un problème de choix multicritère (ou de préférence..) le formalisme suivant peut être adopté: \(S=S_ 1\times...\times S_ n\) où les \(S_ i\) sont les ensembles de valeurs possibles de n attributs ou points de vue; \(x=(x_ 1,...,x_ n)\) est l'élément générique de S.
openaire +1 more source
Pour traduire un problème de choix multicritère (ou de préférence..) le formalisme suivant peut être adopté: \(S=S_ 1\times...\times S_ n\) où les \(S_ i\) sont les ensembles de valeurs possibles de n attributs ou points de vue; \(x=(x_ 1,...,x_ n)\) est l'élément générique de S.
openaire +1 more source
Modeling Microarray Data Using a Threshold Mixture Model
Biometrics, 2004Summary. An important goal of microarray studies is the detection of genes that show significant changes in expression when two classes of biological samples are being compared. We present an ANOVA‐style mixed model with parameters for array normalization, overall level of gene expression, and change of expression between the classes. For the latter we
Kauermann, Göran, Eilers, P
openaire +2 more sources
1974
In the model discussed in the previous section, the function T(t) was prescribed a priori. Except for the case of constant delay, it is by no means clear how one would expect to know this function. In this section we add a phenomenon to the model, a threshold effect, which yields the delay as a function of I(t).
openaire +1 more source
In the model discussed in the previous section, the function T(t) was prescribed a priori. Except for the case of constant delay, it is by no means clear how one would expect to know this function. In this section we add a phenomenon to the model, a threshold effect, which yields the delay as a function of I(t).
openaire +1 more source
Fixed threshold modeling of an adjustable threshold integrate-and-fire neuronal model
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008An action potential is generated when the membrane potential of a spiking neuron reaches a certain threshold. Although it is well-known that the threshold level of a neuron is not a fixed value and changes with time and neuronal parameters, its variation is often ignored in neuronal modeling due to the complexity of the analysis.
openaire +2 more sources
THRESHOLD VARIABLE SELECTION IN OPEN‐LOOP THRESHOLD AUTOREGRESSIVE MODELS
Journal of Time Series Analysis, 1995Abstract.An open‐loop threshold autoregressive model is defined asThe main difficulty for building such a model is that the threshold variableZtis usually unknown. In practice, there may exist many possible candidates for the threshold variableZt. It is difficult and tedious, if not impossible, to search for the best among all the candidates using ...
openaire +2 more sources
Financial modelling using threshold models
2018The purpose of this thesis is to explore threshold algorithms and models in financial data. The algorithm that used was regression trees and random forest and the estimated models was nonlinear GARCH models. We try to explore this combination between statistical learning algorithms and financial econometric models to predict and explain the ...
openaire +1 more source
The biofilm life cycle: expanding the conceptual model of biofilm formation
Nature Reviews Microbiology, 2022Karin Sauer +2 more
exaly