Scalable Rule Lists Learning with Sampling-Reference-Cited by-同舟云学术

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Scalable Rule Lists Learning with Sampling

Published:2024-08-24 Issue: Volume:18 Page:2352-2363
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Pellegrina Leonardo¹^ORCID,Vandin Fabio¹^ORCID

Affiliation:

1. Dept. of Information Engineering, University of Padova, Padova, Italy

Funder

European Union

Italian Ministry of University and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671989

Reference32 articles.

1. Learning certifiably optimal rule lists for categorical data;Angelino Elaine;Journal of Machine Learning Research,2018

2. Rademacher and Gaussian complexities: Risk bounds and structural results;Bartlett Peter L.;Journal of Machine Learning Research,2002

3. Stéphane Boucheron, Olivier Bousquet, and Gábor Lugosi. 2005. Theory of classification: A survey of some recent advances. ESAIM: probability and statistics, Vol. 9 (2005), 323--375.

4. Leo Breiman. 2001. Statistical modeling: The two cultures (with comments and a rejoinder by the author). Statistical science, Vol. 16, 3 (2001), 199--231.

5. L Breiman, J Friedman, R A Olshen, and C J Stone. 1984. Classification and Regression Trees. Routledge.

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