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An MLP neural network was used as a classifier to classify the alcoholic and non-alcoholic subjects.
For example, if insulin use alone was used as a classifier for non-participation, 78% (of those taking insulin) were correctly classified.
The machine learning algorithm module acts as a classifier.
Then, it uses Bayes algorithm [33] as a classifier.
The GentleBoost algorithm is used as a classifier.
In Section 5, the ANN as a classifier is described.
Here, the model is also known as a classifier.
Finally, the back-propagation network model is adopted as a classifier.
A neural network is used as a classifier of this feature vector.
The RBFNN with the proposed FHLA is used as a classifier in a face recognition system.
In the proposed technique softmax regression is used as a classifier.
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