Atsuyoshi Nakamura, Kento Sakurada. An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision Forest. In Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Volume 11906 of Lecture Notes in Computer Science, pages 578-589, Springer, 2019. [doi]
@inproceedings{NakamuraS19-4,
title = {An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision Forest},
author = {Atsuyoshi Nakamura and Kento Sakurada},
year = {2019},
doi = {10.1007/978-3-030-46150-8_34},
url = {https://doi.org/10.1007/978-3-030-46150-8_34},
researchr = {https://researchr.org/publication/NakamuraS19-4},
cites = {0},
citedby = {0},
pages = {578-589},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I},
editor = {Ulf Brefeld and Élisa Fromont and Andreas Hotho and Arno J. Knobbe and Marloes H. Maathuis and Céline Robardet},
volume = {11906},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-46150-8},
}