Collapsing the Decision Tree: the Concurrent Data Predictor
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Abstract (arXiv)
A family of concurrent data predictors is derived from the decision tree classifier by removing the limitation of sequentially evaluating attributes. By evaluating attributes concurrently, the decision tree collapses into a flat structure. Experiments indicate improvements of the prediction accuracy.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 0 of its 9 references that are in the map. First posted on arXiv 9 Aug 2021.
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Citing papers per year: 2022: 4.
4 papers.
- 2022Probabilistic Alternatives to the Gower Distance: A Note on Deodata Predictorscited by 1
- 2022Backtrack Tie-Breaking for Decision Trees: A Note on Deodata Predictorscited by 1
- 2022Interfering Paths in Decision Trees: A Note on Deodata Predictorscited by 1
- 2022Accuracy Convergent Field Predictorscited by 0
- 2022Accuracy Convergent Field Predictors7 May 2022
- 2022Interfering Paths in Decision Trees: A Note on Deodata Predictors24 Feb 2022
- 2022Backtrack Tie-Breaking for Decision Trees: A Note on Deodata Predictors5 Feb 2022
- 2022Probabilistic Alternatives to the Gower Distance: A Note on Deodata Predictors17 Jan 2022