Results 21 to 30 of about 170,610 (66)
End-to-End Learning of Decision Trees and Forests
International Journal of Computer Vision, 2019 Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from little training data.
Thomas M. Hehn +2 more
semanticscholar +1 more source
Reliability estimation of healthcare systems using Fuzzy Decision Trees
Conference on Computer Science and Information Systems, 2016 Reliability is an important characteristic of any system. Healthcare systems are typical examples of such systems. In reliability engineering, such systems are considered as complex, inhomogeneous, and uncertain, and require special mathematical ...
E. Zaitseva +3 more
semanticscholar +1 more source
MathematicsCorporate financing decisions, particularly the choice between equity and debt, significantly impact a company’s financial health and value. This study predicts binary corporate debt levels (high or low) using supervised machine learning (ML) models and ...
Joseph F. Hair +3 more
semanticscholar +1 more source
End-to-end Learning of Deterministic Decision Trees
, 2017 Thomas M. Hehn, Fred A. Hamprecht
openalex +2 more sources
Complexity of Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables from Closed Classes [PDF]
IEEE Access, 2023 This paper investigates classes of decision tables (DTs) with 0-1-decisions that are closed under the removal of attributes (columns) and changes to the assigned decisions to rows.
Azimkhon Ostonov, Mikhail Moshkov
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Lower Bounds on Complexity of Deterministic Decision Trees for Decision Tables
, 2020 Mikhail Moshkov
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