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The existing, multistage classification of DR development has prompted the wide use of categorical data analysis strategies in clinical studies.
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We propose an adaptive multistage classification scheme, based on the principle of multiresolution, using a naturally hierarchical wavelet representation of signals.
As to the second question, we are investigating a multistage classification scheme in which each stage is composed of multiple classifiers whose decisions are combined by majority voting and consensus.
Australia New Zealand Standard Classification of Occupations.
Classification of some of the girl spectators.
For a classification of snakes, see snake.
Step 3: Classification of variable regions.
Classification of polymorphisms with predicted ORF.
Determine the classification of your medical device.
Learn the classification of your particular ATV.
The use of this principle in the context of a multi-class recognition task leads to the multistage binary classification tree, where recognition at different stages is performed with varying degrees of precision.
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