AUTOMATIC APPROXIMATING REFINEMENT OF RULESET FROM LABELLED DATASETS
A labelled point within a multidimensional space is input from a set of input records. It is determined whether the labelled point is subsumed by a member hyperregion of the set of hyperregions specified by an BSRS, wherein the BSRS includes a boundary-structured rule corresponding to a hyperregion...
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Zusammenfassung: | A labelled point within a multidimensional space is input from a set of input records. It is determined whether the labelled point is subsumed by a member hyperregion of the set of hyperregions specified by an BSRS, wherein the BSRS includes a boundary-structured rule corresponding to a hyperregion in the multidimensional space. In the event the labelled point is not subsumed, the BSRS is expanded or the labelled point is eliminated. |
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