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Section 2 presents the linear model with exponential power errors and the associated likelihood function.
For the backbone-to-backbone links the convex energy model with exponential constraint was always used.
The best performing model, as measured by leave-one-out cross validation on the training data, was the 15 NN model with exponential weighting.
It must be noted that the used radio channel responses were produced using a model with exponential PDP (λ=0.5, 24 coefficients).
This paper derives the maximum likelihood (ML) estimator for all the clock parameters in a two-way timing exchange model with exponential delays.
The channel suffers with the frequency-selective fading by a six-ray Rayleigh model with exponential profile and maximal 5μs multipath delay [8].
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We have developed Bayesian reference analysis for linear models with exponential power errors.
The random failures are modeled with exponential distribution and may occur at any stage of degradation.
Attenuation is modeled with exponential relaxation functions which allow a differential formulation based on memory variables.
To select the best fitting model, we fitted parametric models with exponential, log-logistic, log normal and gamma distribution separately.
Obtained results show that the GA-SVR models with Exponential Radial Basis Function (ERBF) kernel present higher accuracy than the other applied GA-SVR models.
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