Please use this identifier to cite or link to this item: http://hdl.handle.net/1880/45821
Title: ACQUISITION OF UNCERTAIN RULES IN A PROBABILISTIC LOGIC
Authors: Cleary, John G.
Keywords: Computer Science
Issue Date: 1-Oct-1986
Abstract: The problem of acquiring uncertain rules from examples is considered. The uncertain rules are expressed using a simple probabilistic logic which obeys all the axioms of propositional logic. By using three truth values (true, false, undefined) a consistent expression of contradictory evidence is obtained. As well the logic is able to express the correlations between rules and to deal both with uncertain rules and with uncertain evidence. It is shown that there is a subclass of such rules where the probabilities of correlations between the rules can be directly computed from examples.
URI: http://hdl.handle.net/1880/45821
Appears in Collections:Cleary, John

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