1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Greedy Algorithm for Inference of Decision Trees from Decision Rule Systems
Kerven Durdymyradov, Mikhail Moshkov
Decision trees and decision rule systems play important roles as classifiers, knowledge representation tools, and algorithms. They are easily interpretable models for data analysis…
cs.AI2023★ 1 cited
Construction of Decision Trees and Acyclic Decision Graphs from Decision Rule Systems
Kerven Durdymyradov, Mikhail Moshkov
Decision trees and systems of decision rules are widely used as classifiers, as a means for knowledge representation, and as algorithms. They are among the most interpretable model…
cs.CC2023
Bounds on Depth of Decision Trees Derived from Decision Rule Systems
Kerven Durdymyradov, Mikhail Moshkov
Systems of decision rules and decision trees are widely used as a means for knowledge representation, as classifiers, and as algorithms. They are among the most interpretable model…