Decision Rules Derived from Optimal Decision Trees with Hypotheses

Decision Rules Derived from Optimal Decision Trees with Hypotheses

Conventional decision trees use queries each of which is based on one attribute. In this study, we also examine decision trees that handle additional queries based on hypotheses. This kind of query is similar to the equivalence queries considered in exact learning. Earlier, we designed dynamic progr...

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Bibliographic Details
Main Authors: Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, Beata Zielosko
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Entropy
Subjects:
decision rule
decision tree
representation of information
hypothesis
Online Access:https://www.mdpi.com/1099-4300/23/12/1641

Internet

https://www.mdpi.com/1099-4300/23/12/1641

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