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pro vyhledávání: '"Alkhoury, Sami"'
Tree-based ensemble methods such as random forests, gradient-boosted trees, and Bayesianadditive regression trees have been successfully used for regression problems in many applicationsand research studies. In this paper, we study ensemble versions
Externí odkaz:
http://arxiv.org/abs/2406.14033
Autor:
Alkhoury, Sami, Devijver, Emilie, Clausel, Marianne, Tami, Myriam, Gaussier, Éric, Oppenheim, Georges
Publikováno v:
NeurIPS 2020-34th International Conference on Neural Information Processing Systems
NeurIPS 2020-34th International Conference on Neural Information Processing Systems, Dec 2020, Virtuelle, France. pp.1-11
NeurIPS 2020-34th International Conference on Neural Information Processing Systems, Dec 2020, Virtuelle, France. pp.1-11
International audience; We propose here a generalization of regression trees, referred to as Probabilistic Regression (PR) trees, that adapt to the smoothness of the prediction function relating input and output variables while preserving the interpr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6903c25011db7e5d54bac493da26eed5
https://hal.archives-ouvertes.fr/hal-03050168/file/NeurIPS-2020-smooth-and-consistent-probabilistic-regression-trees-Paper.pdf
https://hal.archives-ouvertes.fr/hal-03050168/file/NeurIPS-2020-smooth-and-consistent-probabilistic-regression-trees-Paper.pdf