Comparitive analysis of deterministic and nondeterministic decision tree complexity. Global approach

Mikhail Moshkov

doi:10.3233/fi-1996-25205

Comparitive analysis of deterministic and nondeterministic decision tree complexity. Global approach

Mikhail Moshkov^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

21 Scopus citations

Abstract

We study the relationships between the complexity of a task description and the minimal complexity of deterministic and nondeterministic decision trees solving this task. We investigate decision trees assuming a global approach i.e. arbitrary checks from a given check system can be used for constructing decision trees.

Original language	English (US)
Pages (from-to)	201-214
Number of pages	14
Journal	Fundamenta Informaticae
Volume	25
Issue number	2
DOIs	https://doi.org/10.3233/fi-1996-25205
State	Published - Feb 1996
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
Algebra and Number Theory
Information Systems
Computational Theory and Mathematics

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10.3233/fi-1996-25205

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abstract = "We study the relationships between the complexity of a task description and the minimal complexity of deterministic and nondeterministic decision trees solving this task. We investigate decision trees assuming a global approach i.e. arbitrary checks from a given check system can be used for constructing decision trees.",

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DO - 10.3233/fi-1996-25205

M3 - Review article

AN - SCOPUS:0039747729

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Comparitive analysis of deterministic and nondeterministic decision tree complexity. Global approach

Abstract

ASJC Scopus subject areas

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