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The selected features are then classified using a Support Vector Machine, effectively combining deep learning’s feature extraction capabilities with machine learning’s robust classification strengths.
SAT problem feature extraction plays an essential role in ... Instead, in this paper, we extract features using semi-supervised deep learning. We train a convolutional autoencoder (AE) to compress the ...
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