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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

Posted By: AvaxGenius
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by Mark K. Hinders
English | EPUB | 2020 | 353 Pages | ISBN : 3030493946 | 109.8 MB

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means.

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

Posted By: AvaxGenius
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by Mark K. Hinders
English | EPUB | 2020 | 353 Pages | ISBN : 3030493946 | 109.8 MB

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means.

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Posted By: AvaxGenius
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by Mark K. Hinders
English | PDF,EPUB | 2020 | 353 Pages | ISBN : 3030493946 | 133.1 MB

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means.