White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems-Reference-Cited by-同舟云学术

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

Published:2020 Issue: Volume: Page:288-295
ISSN:0302-9743
Container-title:Computer Aided Systems Theory – EUROCAST 2019
language:
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Author:

Affenzeller Michael,Burlacu Bogdan,Dorfer Viktoria,Dorl Sebastian,Halmerbauer Gerhard,Königswieser Tilman,Kommenda Michael,Vetter Julia,Winkler Stephan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-45093-9_35

Reference16 articles.

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3. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

4. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley Interscience, New York (2000)

5. Goodfellow, I., Aaron Courville, Y.B.: Deep Learning (Adaptive Computation and Machine Learning). MIT Press, Cambridge (2016)

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