Open AccessRockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models
Author(s) -
Jan Noessner,
Mathias Niepert,
Heiner Stuckenschmidt
Publication year - 2013
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v27i1.8579
Subject(s) - computer science , inference , theoretical computer science , context (archaeology) , tuple , graphical model , pipeline (software) , integer programming , algorithm , artificial intelligence , mathematics , discrete mathematics , paleontology , biology , programming language
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