Kuželka, O. - Železný, F.: Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties
In: 26th International Conference on Machine Learning - procedings. Medison: Omnipress, 2009, p. 569-576. ISBN 978-1-60558-516-1.
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 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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Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties