Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties
published: Aug. 26, 2009, recorded: June 2009, views: 49
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We describe an algorithm for constructing a set of acyclic conjunctive relational features by combining smaller conjunctive blocks. Unlike traditional level-wise approaches which preserve the monotonicity of frequency, our block-wise approach preserves a form of monotonicity of the irreducibility and relevancy feature properties, which are important in propositionalization employed in the context of classiﬁcation learning. With pruning based on these properties, our block-wise approach efﬁciently scales to features including tens of ﬁrst-order literals, far beyond the reach of state-of-the art propositionalization or inductive logic programming systems.
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