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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2007 . Peer-reviewed
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Inductive Mercury Programming

Authors: Fisher, Barnaby; Cussens, James;

Inductive Mercury Programming

Abstract

We investigate using the Mercury language to implement and design ILP algorithms, presenting our own ILP system IMP . Mercury provides faster execution than Prolog. Since Mercury is a purely declarative language, run-time assertion of induced clauses is prohibited. Instead IMP uses a problem-specific interpreter of ground representations of induced clauses. The interpreter is used both for cover testing and bottom clause generation. The Mercury source for this interpreter is generated automatically from the user's background knowledge using Moose , a Mercury parser generator. Our results include some encouraging results on IMP 's cover testing speed, but overall IMP is still generally a little slower than ALEPH .

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United Kingdom
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Keywords

620, 004

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green