C. Nedellec, H. Ade, F. Bergadano, and B. Tausend. Declarative bias in ILP. In L. De Raedt, editor, Advances in Inductive Logic Programming, volume 32 of Frontiers in Artificial Intelligence and Applications, pages 82--103. IOS Press, 1996. Home/Search Document Details and Download
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Dimensionality Reduction in ILP: A Call To Arms - Fürnkranz (Correct)
....space by various mechanisms that range from simple approaches, which allow to specify modes and types for certain predicates or to limit the clause length or variable depth, to complex description languages for explicitly modeling a hypothesis space. For an overview of such approaches see [N edellec et al. 1996] Although in some of these approaches a calculation of the size of the defined hypothesis space is possible (as e.g. in the DLAB formalism [Dehaspe and De Raedt, 1996] its exact size is usually unknown. Contrary to propositional learning, where the number of attributes (and maybe the average ....
....of a decision tree [Holte, 1993; Auer et al. 1995] However, these static approaches have enjoyed less popularity than the dynamic approaches for identifying relevant feature subsets. In ILP research, the opposite is the case: Research on what has been termed declarative bias has flourished [N edellec et al. 1996; Cohen, 1994; Dehaspe and De Raedt, 1996; Ade et al. 1995] while there are almost no approaches for dynamically reducing the size of the hypothesis space. A notable exception is [Lavra c et al. 1995] where an approach for propositional literal selection [Gamberger, 1995] is used in a ....
Claire Nedellec, Celine Rouveirol, Hilde Ade, Francesco Bergadano, and Birgit Tausend. Declarative bias in ILP. In L. De Raedt, editor, Advances in Inductive Logic Programming, volume 32 of Frontiers in Artificial Intelligence and Applications, pages 82--103. IOS Press, Amsterdam, 1996.
Lazy Propositionalisation for Relational Learning - Alphonse, Rouveirol (2000) (5 citations) Self-citation (Rouveirol) (Correct)
....test in such complex languages. Both aspects are traditionally handled in Inductive Logic Programming (ILP) directly in a FOL framework by adopting a generate and test approach carefully controlled through sophisticated language and search bias (see for instance, ij determination [11] see [12] for an extended study of bias in ILP) A number of ILP systems (among others, LINUS [8] STILL [17] REPART [21] SP [7] have adopted an alternative to this approach and have addressed the problem by first reformulating the initial FOL learning problem into an attribute value or boolean problem ....
C. Nedellec, C. Rouveirol, H. Ade, F. Bergadano, and B. Tausend, `Declarative bias in ILP', in Advances in Inductive Logic Programming, ed., L. De Raedt, 82--103, IOS Press, (1996).
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C. Nedellec, H. Ade, F. Bergadano, and B. Tausend. Declarative bias in ILP. In L. De Raedt, editor, Advances in Inductive Logic Programming, volume 32 of Frontiers in Artificial Intelligence and Applications, pages 82--103. IOS Press, 1996.
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C. Nedellec, C. Rouveirol, H. Ade, F. Bergadano, and B. Tausend. Declarative bias in ILP. In L. de Raedt, editor, Advances in Inductive Logic Programming, pages 82--103. IOS Press, Amsterdam, the Netherlands, 1996.
Query Optimization in Inductive Logic Programming by.. - Struyf, Blockeel (2003) (Correct)
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C. Nedellec, H. Ade, F. Bergadano, and B. Tausend. Declarative bias in ILP. In L. De Raedt, editor, Advances in Inductive Logic Programming, volume 32 of Frontiers in Artificial Intelligence and Applications, pages 82--103. IOS Press, 1996.
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