White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{DBLP:conf/eurocast/AffenzellerBDDH19,
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author = "Michael Affenzeller and Bogdan Burlacu and
Viktoria Dorfer and Sebastian Dorl and Gerhard Halmerbauer and
Tilman Koenigswieser and Michael Kommenda and
Julia Vetter and Stephan M. Winkler",
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title = "White Box vs. Black Box Modeling: On the Performance
of Deep Learning, Random Forests, and Symbolic
Regression in Solving Regression Problems",
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booktitle = "17th International Conference, Computer Aided Systems
Theory - {EUROCAST} 2019",
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year = "2019",
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editor = "Roberto Moreno-Diaz and Franz Pichler and
Alexis Quesada-Arencibia",
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volume = "12013",
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series = "Lecture Notes in Computer Science",
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pages = "288--295",
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address = "Las Palmas de Gran Canaria, Spain",
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month = feb # " 17-22",
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publisher = "Springer",
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note = "Revised Selected Papers, Part {I}",
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keywords = "genetic algorithms, genetic programming",
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timestamp = "Mon, 05 Feb 2024 20:28:43 +0100",
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biburl = "https://dblp.org/rec/conf/eurocast/AffenzellerBDDH19.bib",
-
bibsource = "dblp computer science bibliography, https://dblp.org",
-
URL = "https://doi.org/10.1007/978-3-030-45093-9_35",
-
DOI = "doi:10.1007/978-3-030-45093-9_35",
- }
Genetic Programming entries for
Michael Affenzeller
Bogdan Burlacu
Viktoria Dorfer
Sebastian Dorl
Gerhard Halmerbauer
Tilman Koenigswieser
Michael Kommenda
Julia Vetter
Stephan M Winkler
Citations