Description: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-independent Settings, Hardcover by Pham, Thuy T., ISBN 3319986740, ISBN-13 9783319986746, Like New Used, Free shipping in the US
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.
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Book Title: Applying Machine Learning for Automated Classification of Biomedi
Number of Pages: Xv, 107 Pages
Language: English
Publication Name: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining, Biomedical
Item Weight: 16 Oz
Type: Textbook
Subject Area: Computers, Technology & Engineering, Mathematics
Author: Thuy T. Pham
Item Length: 9.3 in
Series: Springer Theses Ser.
Item Width: 6.1 in
Format: Hardcover
