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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings (Hardcover, 1st ed. 2019) Loot Price: R2,927
Discovery Miles 29 270
Repayment Terms: R274 pm x 12*
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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings (Hardcover, 1st ed....

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings (Hardcover, 1st ed. 2019)

Thuy T. Pham

Series: Springer Theses

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Loot Price R2,927 Discovery Miles 29 270 | Repayment Terms: R274 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: August 2018
First published: 2019
Authors: Thuy T. Pham
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 107
Edition: 1st ed. 2019
ISBN-13: 978-3-319-98674-6
Categories: Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-319-98674-0
Barcode: 9783319986746

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