Speeding up parameter and rule learning for acyclic probabilistic logic programs Jan 1, 2019· Francisco H. O. Vieira De Faria , Arthur Colombini Gusmão , Glauber De Bona , Denis Deratani Mauá , Fabio Gagliardi Cozman · 0 min read PDF Cite DOI Type 2 Publication International Journal of Approximate Reasoning Last updated on Jan 1, 2019 ← Robust Analysis of MAP Inference in Selective Sum-Product Networks Jan 1, 2019 The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws Jan 1, 2019 →