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Random forest classifiers have been applied successfully in a number of remote sensing studies [92 94] which showed that the approach is superior to the widely used maximum likelihood classifier.
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Then we classify the images using Maximum Likelihood Classifier (MLC) and Support Vector Machines (SVM) classifier.
Estimates used maximum likelihood.
Second, we use maximum likelihood as the method of inference.
It is estimated using maximum likelihood estimation technique.
They estimated the shape and scale parameters using maximum likelihood.
The parameter estimates are determined using maximum likelihood estimation.
Tree generated using maximum likelihood (FastDNAM1) in ARB package method.
The OLR model was estimated using maximum likelihood estimation method.
Phylogenetic relationship analysis was performed, using maximum likelihood (ML) method.
This logistic function was estimated using maximum likelihood.
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