Weighted Depth of Deterministic and Nondeterministic Decision Trees for Recognition Properties of Decision Rule Systems
Decision rule systems and decision trees are frequently used in computer science as interpretable models. Understanding their complexity in terms of attribute costs is crucial when decisions must be made with minimum resource usage. Our result shows a tight bound on how much more expensive a determi...
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| Published in: | Procedia computer science Vol. 270; pp. 6199 - 6205 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
2025
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| Subjects: | |
| ISSN: | 1877-0509, 1877-0509 |
| Online Access: | Get full text |
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