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Supervised Learning: Classification and Regression

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Online Machine Learning

Abstract

This chapter provides an overview and evaluation of Online Machine Learning (OML) methods and algorithms, with a special focus on supervised learning. First, methods from the areas of classification (Sect. 2.1) and regression (Sect. 2.2) are presented. Then, ensemble methods are described in Sect. 2.3. Clustering methods are briefly mentioned in Sect. 2.4. An overview is given in Sect. 2.5.

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Notes

  1. 1.

    https://riverml.xyz/dev/api/cluster.

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Correspondence to Thomas Bartz-Beielstein .

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Bartz-Beielstein, T. (2024). Supervised Learning: Classification and Regression. In: Bartz, E., Bartz-Beielstein, T. (eds) Online Machine Learning. Machine Learning: Foundations, Methodologies, and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-7007-0_2

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  • DOI: https://doi.org/10.1007/978-981-99-7007-0_2

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  • Online ISBN: 978-981-99-7007-0

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