It takes the average reader 5 hours and 54 minutes to read Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by Mark K. Hinders
Assuming a reading speed of 250 words per minute. Learn more
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 begins by providing background information on machine learning and the...
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by Mark K. Hinders is 346 pages long, and a total of 88,576 words.
This makes it 117% the length of the average book. It also has 108% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 4 minutes to read Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint aloud.
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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