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Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses
In this paper, we consider decision trees that use both conventional queries based on one attribute each and queries based on hypotheses of values of all attributes. Such decision trees are similar to those studied in exact learning, where membership and equivalence queries are allowed. We present g...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303841/ https://www.ncbi.nlm.nih.gov/pubmed/34201971 http://dx.doi.org/10.3390/e23070808 |