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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, includ...
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| Format: | e-Book |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Online Access: | Full-text access View in OPAC |