Taking inspiration from the literature fuzzy decision trees, and leveraging many-valued logics, we propose a novel, and more general variety of decision trees.
Badia, G., Noguera, C., Paparella, A., Sciavicco, G. (2024). Many-Expert Decision Trees. In Proceedings of OVERLAY 2024, 6th International Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis (pp.97-102). Aachen : RWTH Aachen University.
Many-Expert Decision Trees
Carles Noguera;
2024-01-01
Abstract
Taking inspiration from the literature fuzzy decision trees, and leveraging many-valued logics, we propose a novel, and more general variety of decision trees.
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/11365/1283954