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Research map / Learning theory and algorithms / Combinatorial and search optimization

Learning Logic Programs by Discovering Where Not to Search

AAAI 2023 · Learning theory and algorithms › Combinatorial and search optimization · approach: Search for program synthesis · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Discover BK constraints before hypothesis searchPopper on buttons · buttonslearning time: 686s to 25s; -96%Helped
Discover BK constraints before hypothesis searchPopper on IGGP md · mdlearning time: 142 ± 7 to 13 ± 0.4Helped
Discover BK constraints before hypothesis searchPopper on krk · krklearning time: 48 ± 6 to 9 ± 0.6Helped
Discover BK constraints before hypothesis searchPopper on imdb3 · imdb3learning time: 366s to 287s; 21% reductionHelped
Discover BK constraints before hypothesis searchPopper across evaluated tasks · multiple domainslearning time: up to 97%Helped
Discover BK constraints before hypothesis searchPopper on sumlist · sumlistpredictive accuracy: 90 ± 6 to 100 ± 0Helped
Discover BK constraints before hypothesis searchPopper on imdb1 and imdb2 · IMDBpredictive accuracy: imdb1: 100 ± 0 to 100 ± 0; imdb2: 100 ± 0 to 100 ± 0No clear effect
Discover BK constraints before hypothesis searchPopper on md with maximum rule size 8 · mdlearning time: timeout to 47 ± 2Helped
Discover BK constraints before hypothesis searchPopper on rps · rpsprograms generated: 6297 ± 7 to 988 ± 2; -84%Helped
Discover BK constraints from BKDisco on synthesis background knowledge · synthesis BKconstraint discovery time: 4.00 ± 0.40; around 47s for around 8m factsMixed

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