White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan M. Winkler. White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. In Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia, editors, Computer Aided Systems Theory - EUROCAST 2019 - 17th International Conference, Las Palmas de Gran Canaria, Spain, February 17-22, 2019, Revised Selected Papers, Part I. Volume 12013 of Lecture Notes in Computer Science, pages 288-295, Springer, 2019. [doi]

This author has not been identified. Look up 'Michael Affenzeller' in GoogleThis author has not been identified. Look up 'Bogdan Burlacu' in GoogleThis author has not been identified. Look up 'Viktoria Dorfer' in GoogleThis author has not been identified. Look up 'Sebastian Dorl' in GoogleThis author has not been identified. Look up 'Gerhard Halmerbauer' in GoogleThis author has not been identified. Look up 'Tilman Königswieser' in GoogleThis author has not been identified. Look up 'Michael Kommenda' in GoogleThis author has not been identified. Look up 'Julia Vetter' in GoogleThis author has not been identified. Look up 'Stephan M. Winkler' in Google

runs on WebDSL