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:1.8051

@InProceedings{DBLP:conf/eurocast/AffenzellerBDDH19,

• 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",
• title = "White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems",
• booktitle = "17th International Conference, Computer Aided Systems Theory - {EUROCAST} 2019",
• year = "2019",
• editor = "Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia",
• volume = "12013",
• series = "Lecture Notes in Computer Science",
• pages = "288--295",
• address = "Las Palmas de Gran Canaria, Spain",
• month = feb # " 17-22",
• publisher = "Springer",
• note = "Revised Selected Papers, Part {I}",
• keywords = "genetic algorithms, genetic programming",
• timestamp = "Mon, 05 Feb 2024 20:28:43 +0100",
• 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