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The type of landscape and research questions in focus should therefore be part of choosing matrix method and classification scheme.
Dynamic hazards analysis method and classification system were established based on Set Pair Analysis, updating results in real time with the storage capacity and accident characteristics.
To construct a well-suited electroencephalogram (EEG) decoding module for BHCR, we conducted a comparative inspection on the selection of classification algorithms, and adopted linear discriminant analysis and random forests as a feature extraction method and classification algorithm, respectively.
In this paper, we propose a hybrid diagnostic system based on discretization (quantization) method and classification algorithms including C4.5 decision tree classifier, artificial neural network (ANN), and least square support vector machine (LSSVM) to diagnose the optic nerve disease from Visual Evoked Potential (VEP) signals with discrete values.
Table 2 shows the ranking of all the 38 features using the attribute elevators with search method and classification score.
Figure 2D– F show the segmentation process, the edge detection method, and classification, respectively.
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Decision making was performed in two stages: feature extraction by eigenvector methods and classification using the RNN trained on the extracted features.
Furthermore, sometimes inappropriate choice of feature extraction methods and classification methods in the CAD systems can make meaningless results to understand disease.
First, due to differences in diagnostic methods and classification, current prevalence rates around Europe are lacking [35].
Next, we will review the feature extraction methods and classification methods used in the state of the art dementia identification approaches, respectively.
This performance deficit appears to be consistent across both probe-mapping methods and classification algorithms.
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