Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties

author: Ondřej Kuželka, Czech Technical University in Prague
published: Aug. 26, 2009,   recorded: June 2009,   views: 2789

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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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