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MicroCBR has been applied to classify 91 CLL patients and the results obtained are shown in this paper.
The proposed RTC has been applied to classify six petroleum products: diesel, gasoline, kerosene, light gas oil, light straight-run, and naphtha.
Using moisture, volatile matter, ash content and crossing point temperature of the coal samples as the parameters, the proposed algorithm has been applied to classify the coal seams into three different categories.
Using moisture, volatile matter, ash and crossing point temperature of the coal samples as the parameters, principal component analysis has been applied to classify the coal seams into three different categories.
Using moisture, volatile matter, and ash content and crossing point temperature of the coal samples as the parameters, the proposed algorithm has been applied to classify the coal seams into three different categories.
A variant of Hidden Markov Model, the weighted Markov Chain Model, has also been applied to classify composers [21].
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In the output layer of the network, the softmax classifier is applied to classify samples.
Secondly, the Softmax classifier is applied to classify the precipitation patterns, including rain, snow, and hail, and it is based on the features extracted by deep learning algorithm.
Moreover, the Softmax classifier is applied to classify the precipitation pattern such as rain, snow, and hail based on the features extracted by the convolution neural network algorithm.
Then if RotBoost ensemble classifier is applied to classify such dataset directly, a rotation matrix with thousands of dimensions is required for each tree, which greatly increases the computational complexity.
Finally, the quadratic discriminant classifier described in Section 2.5 is applied to classify protein sequences.
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