[{"publication_status":"published","publication":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","keyword":["local linear regression","multivariate model trees","regression trees","axis-oblique splitting","outer product of gradients"],"user_id":"220548","main_file_link":[{"url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9659858"}],"publication_identifier":{"eisbn":["978-1-7281-9048-8"]},"type":"conference","title":"Curvature-Oriented Splitting for Multivariate Model Trees","date_created":"2022-05-02T15:19:32Z","language":[{"iso":"eng"}],"year":"2021","_id":"1912","page":"01-09","publisher":"IEEE","date_updated":"2026-03-17T15:28:26Z","doi":"10.1109/SSCI50451.2021.9659858","conference":{"location":"Orlando, FL, USA","name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","end_date":"2021-12-07","start_date":"2021-12-05"},"status":"public","citation":{"ieee":"M. Schöne and M. Kohlhase, “Curvature-Oriented Splitting for Multivariate Model Trees,” in <i>2021 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, Orlando, FL, USA, 2021, pp. 01–09.","alphadin":"<span style=\"font-variant:small-caps;\">Schöne, Marvin</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Curvature-Oriented Splitting for Multivariate Model Trees. In: <i>2021 IEEE Symposium Series on Computational Intelligence (SSCI)</i> : IEEE, 2021, S. 01–09","bibtex":"@inproceedings{Schöne_Kohlhase_2021, title={Curvature-Oriented Splitting for Multivariate Model Trees}, DOI={<a href=\"https://doi.org/10.1109/SSCI50451.2021.9659858\">10.1109/SSCI50451.2021.9659858</a>}, booktitle={2021 IEEE Symposium Series on Computational Intelligence (SSCI)}, publisher={IEEE}, author={Schöne, Marvin and Kohlhase, Martin}, year={2021}, pages={01–09} }","apa":"Schöne, M., &#38; Kohlhase, M. (2021). Curvature-Oriented Splitting for Multivariate Model Trees. In <i>2021 IEEE Symposium Series on Computational Intelligence (SSCI)</i> (pp. 01–09). Orlando, FL, USA: IEEE. <a href=\"https://doi.org/10.1109/SSCI50451.2021.9659858\">https://doi.org/10.1109/SSCI50451.2021.9659858</a>","short":"M. Schöne, M. Kohlhase, in: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2021, pp. 01–09.","chicago":"Schöne, Marvin, and Martin Kohlhase. “Curvature-Oriented Splitting for Multivariate Model Trees.” In <i>2021 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 01–09. IEEE, 2021. <a href=\"https://doi.org/10.1109/SSCI50451.2021.9659858\">https://doi.org/10.1109/SSCI50451.2021.9659858</a>.","mla":"Schöne, Marvin, and Martin Kohlhase. “Curvature-Oriented Splitting for Multivariate Model Trees.” <i>2021 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, IEEE, 2021, pp. 01–09, doi:<a href=\"https://doi.org/10.1109/SSCI50451.2021.9659858\">10.1109/SSCI50451.2021.9659858</a>.","ama":"Schöne M, Kohlhase M. Curvature-Oriented Splitting for Multivariate Model Trees. In: <i>2021 IEEE Symposium Series on Computational Intelligence (SSCI)</i>. IEEE; 2021:01-09. doi:<a href=\"https://doi.org/10.1109/SSCI50451.2021.9659858\">10.1109/SSCI50451.2021.9659858</a>"},"author":[{"id":"218388","first_name":"Marvin","full_name":"Schöne, Marvin","last_name":"Schöne"},{"id":"226669","first_name":"Martin","full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase"}]},{"date_updated":"2026-03-17T15:28:26Z","page":"41-50","publisher":"Springer International Publishing","doi":"10.1007/978-3-030-62362-3_5","status":"public","conference":{"end_date":"2020-11-06","start_date":"2020-11-04","name":"International Conference on Intelligent Data Engineering and Automated Learning","location":"Guimaraes, Portugal"},"author":[{"first_name":"Marvin","id":"218388","last_name":"Schöne","full_name":"Schöne, Marvin"},{"first_name":"Martin","id":"226669","orcid":"0009-0002-9374-0720","full_name":"Kohlhase, Martin","last_name":"Kohlhase"}],"citation":{"ieee":"M. Schöne and M. Kohlhase, “Least Squares Approach for Multivariate Split Selection in Regression Trees,” in <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, Guimaraes, Portugal, 2020, pp. 41–50.","alphadin":"<span style=\"font-variant:small-caps;\">Schöne, Marvin</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Least Squares Approach for Multivariate Split Selection in Regression Trees. In: <span style=\"font-variant:small-caps;\">Analide, C.</span> ; <span style=\"font-variant:small-caps;\">Novais, P.</span> ; <span style=\"font-variant:small-caps;\">Camacho, D.</span> ; <span style=\"font-variant:small-caps;\">Yin, H.</span> (Hrsg.): <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, <i>Lecture Notes in Computer Science</i>. Cham : Springer International Publishing, 2020, S. 41–50","apa":"Schöne, M., &#38; Kohlhase, M. (2020). Least Squares Approach for Multivariate Split Selection in Regression Trees. In C. Analide, P. Novais, D. Camacho, &#38; H. Yin (Eds.), <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i> (pp. 41–50). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">https://doi.org/10.1007/978-3-030-62362-3_5</a>","bibtex":"@inproceedings{Schöne_Kohlhase_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={Least Squares Approach for Multivariate Split Selection in Regression Trees}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">10.1007/978-3-030-62362-3_5</a>}, 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} }","short":"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.","chicago":"Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, edited by Cesar Analide, Paulo Novais, David Camacho, and Hujun Yin, 41–50. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. <a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">https://doi.org/10.1007/978-3-030-62362-3_5</a>.","mla":"Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, edited by Cesar Analide et al., Springer International Publishing, 2020, pp. 41–50, doi:<a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">10.1007/978-3-030-62362-3_5</a>.","ama":"Schöne M, Kohlhase M. Least Squares Approach for Multivariate Split Selection in Regression Trees. In: Analide C, Novais P, Camacho D, Yin H, eds. <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2020:41-50. doi:<a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">10.1007/978-3-030-62362-3_5</a>"},"place":"Cham","language":[{"iso":"eng"}],"_id":"1916","editor":[{"full_name":"Analide, Cesar","last_name":"Analide","first_name":"Cesar"},{"full_name":"Novais, Paulo","last_name":"Novais","first_name":"Paulo"},{"first_name":"David","last_name":"Camacho","full_name":"Camacho, David"},{"first_name":"Hujun","last_name":"Yin","full_name":"Yin, Hujun"}],"year":"2020","date_created":"2022-05-02T15:33:18Z","title":"Least Squares Approach for Multivariate Split Selection in Regression Trees","keyword":["Industry 4.0","Interpretability","Curse of dimensionality","Oblique Regression Trees","Mixed Regression Trees","CART"],"series_title":"Lecture Notes in Computer Science","publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I","publication_status":"published","main_file_link":[{"url":"https://link.springer.com/content/pdf/10.1007/978-3-030-62362-3_5.pdf"}],"user_id":"220548","type":"conference","publication_identifier":{"issn":["0302-9743"],"eisbn":["978-3-030-62362-3"],"isbn":["978-3-030-62361-6"],"eissn":["1611-3349"]}}]