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In contrast to existing approaches that deconvolve the recurrence score, RAIG analyzes the combinatorial structure of the underlying intervals, and thus explicitly models the dependencies between the values of the recurrence score.
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It models the dependency between the faded signal and noise, and facilitates the separation of dependent noise from the desired part of the received signal.
Specifically, the Gaussian Copula function models the dependency among multiple Gaussian distributed variables.
In cases where some dependency is found between variables, we propose that the creation of a hidden node, which in effect models the dependency, can solve the problem.
It introduces the Statistical and Temporal Percept Action Coupling (ST-PAC) System which statistically models the dependency between the perceptual state of the world and the resulting actions that this state should elicit.
The GPR component models the dependency between genes and reactions using Boolean functions usually called gene-protein-reaction (GPR) associations [ 22]).
In the equation, β0 is a baseline parameter and β1 is a heteroscedasticity parameter, which models the dependency of σE2 on A. If β1 = 0, the model reduces to the standard AE-model.
One of the popular methods in modeling the dependencies is the copula approach.
One popular method of modeling the dependencies is the copula approach.
For thresholding, they applied the bivariate shrinkage function to model the dependencies between current QWT coefficients and their corresponding parents.
This system has the potential to model the dependencies between contextual factors and acoustic features such that each training sample contributes to train multiple sets of model parameters.
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