A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles
By Gilles Vandewiele, Kiani Lannoye, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke. 2017
14 citations recorded by the source corpus.
Subfields: Artificial Intelligence
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In Artificial Intelligence
- Maximilian Schiffer
- Thibaut Vidal
- Houtao Deng
- Toni Pacheco
- Miron Bartosz Kursa
- Emilio Carrizosa
- Dolores Romero Morales
- Cristina Molero-Río
Citations in the corpus
- Interpreting tree ensembles with inTrees (2014, background): “, reduced decision nodes referred to as node harvest [28], rules generated from simplified predictive regions [22,23], single decision trees [3,4,34, 36], and linear models [14].”
- Born-Again Tree Ensembles (2020, background): “Recently, some works focused on directly extracting a single tree from a tree ensemble based on stabilized but yet heuristic splitting criteria (Zhou & Hooker, 2016), genetic algorithms (Vandewiele et al., 2017), or by actively sampling training points (Bastani et al.”