Abstract
In this chapter methods for the personalization and adaptation of classification and regression models are presented. The idea of those approaches is to improve the quality of classification/regression models in cases in which no additional labeled training material is available for given persons.
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© 2020 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
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Kächele, M. (2020). Adaptation and personalization of classifiers. In: Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-28674-3_6
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DOI: https://doi.org/10.1007/978-3-658-28674-3_6
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Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-28673-6
Online ISBN: 978-3-658-28674-3
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