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BliStr is a system that automatically develops strategies for E prover on a large set of problems.
E - A Brainiac Theorem Prover
Stephan Schulz · 2002
Earlier work this paper cites.
MPTP - Motivation, Implementation, First Experiments
Josef Urban · 2004
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MoMM - fast interreduction and retrieval in large libraries of formalized mathematics
Josef Urban · 2006
Earlier work this paper cites.
MPTP 0.2: Design, implementation, and initial experiments
Josef Urban · 2006
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MaLARea SG1 - Machine Learner for Automated Reasoning with Semantic Guidance
Josef Urban, Geoff Sutcliffe, Petr Pudlák, and Jiří Vyskočil · 2008
Earlier work this paper cites.
ParamILS: an automatic algorithm configuration framework
Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, and Thomas Stützle · 2009
Cited alongside, same era.
Mizar in a nutshell
Adam Grabowski, Artur Korniłowicz, and Adam Naumowicz · 2010
Cited alongside, same era.
The TPTP world - infrastructure for automated reasoning
Geoff Sutcliffe · 2010
Cited alongside, same era.
Evaluation of automated theorem proving on the Mizar Mathematical Library
Josef Urban, Krystof Hoder, and Andrei Voronkov · 2010
Cited alongside, same era.
Sine qua non for large theory reasoning
Krystof Hoder and Andrei Voronkov · 2011
Cited alongside, same era.
First-order theorem proving and Vampire
Laura Kovács and Andrei Voronkov · 2013
Closest in time.
E-MaLeS 1.1
Daniel Kühlwein, Stephan Schulz, and Josef Urban · 2013
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Premise selection for mathematics by corpus analysis and kernel methods
Jesse Alama, Tom Heskes, Daniel Kühlwein, Evgeni Tsivtsivadze, and Josef Urban · 2014
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Learning-assisted automated reasoning with Flyspeck
Cezary Kaliszyk and Josef Urban · 2014
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Machine learner for automated reasoning 0.4 and 0.5
Cezary Kaliszyk, Josef Urban, and Jiří Vyskočil · 2014
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