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Least Squares Approach for Multivariate Split Selection in Regression Trees

M. Schöne, M. Kohlhase, in: C. Analide, P. Novais, D. Camacho, H. Yin (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, Springer International Publishing, Cham, 2020, pp. 41–50.

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Konferenzbeitrag | Veröffentlicht | Englisch
Herausgeber*in
Analide, Cesar; Novais, Paulo; Camacho, David; Yin, Hujun
Erscheinungsjahr
Titel des Konferenzbandes
Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I
Seite
41-50
Konferenz
International Conference on Intelligent Data Engineering and Automated Learning
Konferenzort
Guimaraes, Portugal
Konferenzdatum
2020-11-04 – 2020-11-06
ISSN
eISSN
FH-PUB-ID

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Schöne, Marvin ; Kohlhase, Martin: Least Squares Approach for Multivariate Split Selection in Regression Trees. In: Analide, C. ; Novais, P. ; Camacho, D. ; Yin, H. (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2020, S. 41–50
Schöne M, Kohlhase M. Least Squares Approach for Multivariate Split Selection in Regression Trees. In: Analide C, Novais P, Camacho D, Yin H, eds. Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2020:41-50. doi:10.1007/978-3-030-62362-3_5
Schöne, M., & Kohlhase, M. (2020). Least Squares Approach for Multivariate Split Selection in Regression Trees. In C. Analide, P. Novais, D. Camacho, & H. Yin (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I (pp. 41–50). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-62362-3_5
@inproceedings{Schöne_Kohlhase_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={Least Squares Approach for Multivariate Split Selection in Regression Trees}, DOI={10.1007/978-3-030-62362-3_5}, booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I}, publisher={Springer International Publishing}, author={Schöne, Marvin and Kohlhase, Martin}, editor={Analide, Cesar and Novais, Paulo and Camacho, David and Yin, HujunEditors}, year={2020}, pages={41–50}, collection={Lecture Notes in Computer Science} }
Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” In Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, edited by Cesar Analide, Paulo Novais, David Camacho, and Hujun Yin, 41–50. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-62362-3_5.
M. Schöne and M. Kohlhase, “Least Squares Approach for Multivariate Split Selection in Regression Trees,” in Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, Guimaraes, Portugal, 2020, pp. 41–50.
Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, edited by Cesar Analide et al., Springer International Publishing, 2020, pp. 41–50, doi:10.1007/978-3-030-62362-3_5.

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