Learning Conjunctions of Horn Clauses
作者:Dana Angluin, Michael Frazier, Leonard Pitt
摘要
An algorithm is presented for learning the class of Boolean formulas that are expressible as conjunctions of Horn clauses. (A Horn clause is a disjunction of literals, all but at most one of which is a negated variable.) The algorithm uses equivalence queries and membership queries to produce a formula that is logically equivalent to the unknown formula to be learned. The amount of time used by the algorithm is polynomial in the number of variables and the number of clauses in the unknown formula.
论文关键词:Propositional Horn sentences, equivalence queries, membership queries, exact identification, polynomial time learning
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论文官网地址:https://doi.org/10.1023/A:1022689015665