Decision Tree

By Johannes Fürnkranz. Encyclopedia of Database Systems, 2020

426 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2c2663ca94229467d2f159a959c6039904a9a589

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sarah L. Taylor
2. Mikoláš Janota
3. Yisong Yue
4. Taehwan Kim
5. Jessica K. Hodgins
6. Moshe Mahler
7. James Krahe
8. Anastasio Garcia Rodriguez

Citations in the corpus

• SAT-Based Encodings for Optimal Decision Trees with Explicit Paths (2020, background): “Greedy algorithms for learning decision trees based on recursive splitting are well-known [6,32,33]; see also [8] for an overview.”
• A deep learning approach for generalized speech animation (2017, methodology): “There are two high level approaches tomaking sequence-to-sequence predictions, slidingwindowmodels [Kim et al. 2015] versus recurrently defined models [Fan et al.”