Non-Fiction Books:

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

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Hardback
$270.99
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Description

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.
Release date Australia
August 31st, 2018
Author
Audience
  • Professional & Vocational
Edition
1st ed. 2019
Illustrations
32 Illustrations, color; 3 Illustrations, black and white; XV, 107 p. 35 illus., 32 illus. in color.
Pages
107
ISBN-13
9783319986746
Product ID
28259553

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