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p was computed by maximizing the log likelihood function L = log Π i f(x i ) = Σ i log(pf a (x i ) + (1- p) f o (x i )), where the summation is over the SVM scores of all exons in the test set.
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The unknown parameters of FDMM are computed by maximizing a posteriori (MAP) estimation.
Initial matrices are computed by maximizing the centered-kernel alignment (CKA) metric, measuring the affinity between projected samples and labels.
Each year, equilibrium is computed by maximizing the global "net social payoff," while year-by-year changes are simulated by recursive programming.
The effective rate for the variable-rate transmission is computed by maximizing (13) over ε.
The maximum likelihood estimates (MLEs) of the parameters are computed by maximizing the objective function via the subroutine NLMIXED in SAS.
A shared latent space is computed by maximizing the joint likelihood function of the audio and visual data sets, using Gaussian kernels.
The maximum likelihood estimation of model parameters can be computed by maximizing (14) numerically.
Confidence intervals for reaction rates were computed by maximizing and minimizing the value of each reaction in turn subject to a slightly relaxed score.
Thus, the maximum likelihood estimate of the parameter vector can be computed by maximizing Eq. (A3) with respect to the parameters.
As argued by Gold et al. (1999), optimal performance for this task can be computed by maximizing the cross-correlation between the filtered, noise-masked stimulus and each of the templates (unfiltered action videos).
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