Exact(4)
These discrete bit loading methods maximize the total rate by jointly allocating the discrete rate and then selecting the optimum number K∗ of ordered spreading sequences.
Penalized likelihood methods maximize the loglikelihood subject to a penalty which is dependent on the magnitude of the estimated parameters.
Many methods maximize the model for each snapshot independently, obtaining as argmax M P(M| G(t )), then attempt to stitch together the results.
Empirical methods such as PCA do not necessarily maximize the disease-predictive value of each dietary pattern; rather, such methods maximize the amount of variation in dietary intake explained by each dietary pattern.
Similar(56)
On the premise of determining the minimum sufficient number of Monte Carlo simulation, this method maximizes the operating COP (coefficient of performance) and minimizing the annual total cost.
This method maximizes the information content of measurements and minimizes sample requirements to provide an efficient means for developing multivariate spectroscopic calibration.
The method maximizes the log-likelihood function for unknown parameters ε i using the preamble.
This method maximizes the variance between classes and reduces the variance within classes.
The Fisherfaces method maximizes the ratio of between-class scatter to that of within-class scatter.
This sequential embolization method maximized the effectiveness and achieved the purpose of complete and permanent occlusion.
This method maximizes the GV of an input sequence, under a spectral distortion constraint.
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