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This is an extension of the maximum likelihood criterion.
A maximum likelihood criterion is developed to detect overlapping points in MRIs.
paper, which combines a maximum likelihood criterion with a sensitivity measure.
The maximum likelihood criterion is entirely based on the MLE method.
At receiver, a simple detector based on maximum likelihood criterion is used to "equalize" the symbol combination made at transmitter.
During speaker adaptation, given some adaptation data, the eigenphone matrix V(s) is estimated using the maximum likelihood criterion.
Finally, the model parameters of GMM were estimated under the maximum likelihood criterion by using the standard expectation-maximization algorithm.
Reported in Table 3 are the average estimates of the parameters based on the maximum likelihood criterion and Bayesian paradigm.
Hainsworth [45] uses the method proposed by MacLeod [64], which works by obtaining parameters according to a maximum likelihood criterion.
The maximum likelihood criterion, however, assumes that the number of parameters in each model is the same.
Decision trees were built using maximum likelihood criterion, and the size of decision trees was determined by MDL principle [46].
More suggestions(16)
maximum likelihood condition
maximum chance criterion
maximum likelihood criteria
maximum likelihood standard
maximum likelihood tests
maximum likelihood detection
maximum entropy criterion
maximum likelihood modeling
maximum margin criterion
maximum emittance criterion
maximum likelihood estimation/estimator
maximum likelihood reconstruction
maximum likelihood learning
maximum likelihood dendrogram
maximum likelihood ratio
maximum likelihood tree
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