摘要:In this paper,we examine the issue of learning multiple predicates from given training examples.A proposed MPL-CORE algorithm efficiently induces Horm clauses from examples and background knowledge by employing a single predicate learning module CORE.A fast failure mechanism is also proposed which contributes learning efficiency and learnability to the algorithm.MPL-CORE employs background knowledge that can be represented in intensional(Horn clauses)or extensional (ground atoms)orms during its learning process.With the fast failure mechanism,MPL-CORE outperforms precious multiple predicate learning systems in both the computational complexity and learnability.
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