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The algorithm has been applied for classification of binary as well as multi-class real world problems.
In this work, a multilayer perceptron neural network has been applied for classification of fused images.
The NMF, [21], where a matrix with positive values is decomposed into positive basis functions, has been applied for classification of TF spectrum of audio signals [22, 23].
A set of different machine learning approaches including several types of neural networks as well as SVM, Decision Trees and Gene Expression Programming have been applied for classification purposes.
Hierarchical typing based on genetic characters has only recently been applied, for classification of Bacillus anthracis and Francisella tularensis strains [1], [24], [34], [35].
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The results showed that data obtained from wearable inertial sensors distinguished accurately between retrospective fallers and non-fallers, with overall accuracy of 89.4% (92.7% sensitivity and 84.9% specificity) when the support vector machine was applied for classification.
Measuring the complexity of a pattern expressed either in time or space has been introduced to quantify the information content of the pattern, which can then be applied for classification.
The nearest-neighbor classifier is applied for classification.
SVMs was proposed by Cortes and Vapnik and can be applied for classification, regression and outliers detection tasks [65].
From this subspace, a standard SVM can be applied for classification using the projected data from both domains.
In the baseline algorithm, the standard RGB color histogram with four quantization levels per color component is extracted to generate a 43=64-dimensional 43=64-dimensionalrepresentation, and a multi-class SVM is applied for classifoodtimage
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been applied for specifying
been applied for spectrum
been simplified for classification
been applied for evaluation
been defined for classification
been applied for defining
been applied for prediction
been applied for feature
been utilized for classification
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