MurTree: Optimal Classification Trees via Dynamic Programming and Search
By Emir Demirovi'c, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, C. Leckie, Kotagiri Ramamohanarao, Peter James Stuckey. 2020
19 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Emilio Carrizosa
- Dolores Romero Morales
- Vinícius G. Costa
- Cristina Molero-Río
- Carlos Eduardo Pedreira
- Berk Ustun
- Rafael Blanquero
- Cynthia Rudin
Citations in the corpus
- Mathematical optimization in classification and regression trees (2021, methodology): “See, e.g., Demirović and Stuckey (2020) for the optimization of other criteria to measure the quality of prediction.”
- Recent advances in decision trees: an updated survey (2022, methodology): “More sophisticated approaches include efficiently considering every possible threshold via specialized approaches (Lin et al. 2020), using supervised discretization algorithms (Demirović et al. 2021), or decile binning (Günlük et al. 2021).”