8 research outputs found

    A Note on the comparison of five heuristic optimization techniques of a certain class of decision trees

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    We describe five heuristic techniques to optimize decision trees of uniform depth, that is, to minimize their storage requirement. We also compare them in terms of speed and effectiveness. © 1991.link_to_subscribed_fulltex

    Data-Driven Processing of Semantic Nets

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    Semantic Modelling of Man-Made Objects by Production Nets

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    Application to Traffic Control

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    Government Learning

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