How Long to Read Machine Learning Techniques for Time Series Classification

How Long Does it Take to Read Machine Learning Techniques for Time Series Classification?

It takes the average reader 3 hours and 43 minutes to read Machine Learning Techniques for Time Series Classification by Michael Botsch

Assuming a reading speed of 250 words per minute. Learn more

Description

Classification of time series is an important task in various fields, e.g., medicine, finance, and industrial applications. This work discusses strong temporal classification using machine learning techniques. Here, two problems must be solved: the detection of those time instances when the class labels change and the correct assignment of the labels. For this purpose the scenario-based random forest algorithm and a segment and label approach are introduced. The latter is realized with either the augmented dynamic time warping similarity measure or with interpretable generalized radial basis function classifiers. The main application presented in this work is the detection and categorization of car crashes using machine learning. Depending on the crash severity different safety systems, e.g., belt tensioners or airbags must be deployed at time instances when the best-possible protection of passengers is assured.

How long is Machine Learning Techniques for Time Series Classification?

Machine Learning Techniques for Time Series Classification by Michael Botsch is 217 pages long, and a total of 55,769 words.

This makes it 73% the length of the average book. It also has 68% more words than the average book.

How Long Does it Take to Read Machine Learning Techniques for Time Series Classification Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 4 minutes to read Machine Learning Techniques for Time Series Classification aloud.

What Reading Level is Machine Learning Techniques for Time Series Classification?

Machine Learning Techniques for Time Series Classification 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.

Where Can I Buy Machine Learning Techniques for Time Series Classification?

Machine Learning Techniques for Time Series Classification by Michael Botsch is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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