Complexity of Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables From Closed Classes

Complexity of Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables From Closed Classes

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. For tables from any closed class (CC), the authors examine how the minimum complexity of deterministic decision trees (...

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Dades bibliogràfiques
Autors principals:	Azimkhon Ostonov, Mikhail Moshkov
Format:	Article
Idioma:	English
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Closed classes of decision tables deterministic decision trees strongly nondeterministic decision trees
Accés en línia:	https://ieeexplore.ieee.org/document/10737049/

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