Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions
Decision trees are one of the most commonly used tools in decision analysis, knowledge representation, machine learning, etc., for its simplicity and interpretability. We consider an extension of dynamic programming approach to process the whole set of decision trees for the given decision table whi...
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| Language: | en |
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2018
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| Online Access: | http://hdl.handle.net/10754/628023 |