Rule invocation mechanism for inductive learning engine

G - Physics – 06 – F

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G06F 15/18 (2006.01) G06N 5/00 (2006.01) G06N 5/04 (2006.01)

Patent

CA 2042455

ABSTRACT A rule invocation mechanism in an inductive learning engine employing symbolic rules for characterizing a sequence of time- related events. The rules to be tested as hypotheses against new events in the sequence are ranked according to their information content or "quality" value. The efficiency of the rule-to-event pattern matching process for characterizing the new events is increased by not testing a hypothesis if a much better hypothesis already exists. Those hypotheses that characterize events in the sequence are tagged to the event.

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