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Out of these codewords, it then declares the one based on the maximal likelihood criterion.
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This is in spirit similar to the popular feature space maximum likelihood linear regression (fMLLR) [30] that uses the maximum likelihood criterion to estimate the linear transform.
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.
Phylogenetic hypotheses under the maximum likelihood criterion were derived from the amino acid alignments using PhyML3 [62].
Parameters were estimated by the maximum likelihood criterion.
We chose to maximize the normal-theory maximum likelihood criteria.
Heuristic searches for maximum parsimony (MP) and maximum likelihood criteria were conducted using PAUP 4.0 [27].
The traditional maximum multipoint likelihood criterion was replaced by the comparative mapping criterion using dsbplambda command, lambda set to 1.
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