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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
Engelsk Paperback

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings

Engelsk Paperback

803 kr
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Om denne bog

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, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.



Product detaljer
Sprog:
Engelsk
Sider:
107
ISBN-13:
9783030075187
Indbinding:
Paperback
Udgave:
ISBN-10:
3030075184
Udg. Dato:
25 jan 2019
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
25 jan 2019
Forfatter(e):
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