Can I read Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings on EtoBox?

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings by Thuy T. Pham is a nonfiction available to read on EtoBox.

What is Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings about?

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.

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

Author

Thuy T. Pham

Publisher

Springer International Publishing

Published

2019

Language

EN

ISBN

9783319986753

Category

nonfiction