Tabata: A Learning Algorithm Performing a Bidirectional Search in a Reduced Search Space Using a Tabu Strategy
نویسندگان
چکیده
In concept learning from instances, a partially ordered concept space is searched. Whereas top-down methods search the whole space, bottom-up methods search a reduced space whose elements are most specific generalizations of positive instances. In this work we give the foundations for this reduction, and propose a method that performs a bidirectional search of this reduced space using a Tabu search strategy.
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