Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent SettingsКНИГИ » ПРОГРАММИНГ
Название: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings Автор: Thuy T. Pham Издательство: Springer Год: 2018 Страниц: 107 Формат: PDF, EPUB Размер: 10 Mb Язык: English
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.
MACHINE LEARNING with NEURAL NETWORKS using MATLAB Название: MACHINE LEARNING with NEURAL NETWORKS using MATLAB Автор: J. Smith Издательство: CreateSpace Independent Publishing Год: 2017 Страниц: 382...
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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings 
