Machine Learning Techniques for Time Series Classification

Language: English

Published by Cuvillier, Cuvillier Jun 2023, 2023

3736978138 / 9783736978133

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This item is printed on demand - Print on Demand Titel. Neuware -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.Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen 216 pp. Englisch.…

Seller Inventory # 9783736978133

Title
Machine Learning Techniques for Time Series Classification
Author
Michael Botsch
Publisher
Cuvillier, Cuvillier Jun 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3736978138
ISBN 13
9783736978133
Item weight
286 grams
Dimensions
210x148x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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