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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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Müşterek Yazar: | |
Materyal Türü: | e-Kitap |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Edisyon: | 1st ed. 2019. |
Seri Bilgileri: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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Online Erişim: | Full-text access OPAC'ta görüntüle |
Internet
Full-text accessOPAC'ta görüntüle
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