The PITA System: Tabling and Answer Subsumption for Reasoning under Uncertainty

24 July 2011

Papers citing "The PITA System: Tabling and Answer Subsumption for Reasoning under Uncertainty"

17 / 17 papers shown

Title
Fast Inference for Probabilistic Answer Set Programs via the Residual Program Damiano Azzolini Fabrizio Riguzzi TPM 66 0 0 14 Aug 2024
Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases Riccardo Zese E. Lamma Fabrizio Riguzzi 73 0 0 15 Jun 2023
Bottom-Up Grounding in the Probabilistic Logic Programming System Fusemate Peter Baumgartner Elena Tartaglia TPM 126 1 0 30 May 2023
"What if?" in Probabilistic Logic Programming Rafael Kiesel Kilian Ruckschloss Felix Weitkamper 24 1 0 24 May 2023
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains Pedro Zuidberg Dos Martires Luc de Raedt Angelika Kimmig 96 4 0 21 Feb 2023
Efficient Knowledge Compilation Beyond Weighted Model Counting Rafael Kiesel Pietro Totis Angelika Kimmig 62 7 0 16 May 2022
MAP Inference for Probabilistic Logic Programming Elena Bellodi M. Alberti Fabrizio Riguzzi Riccardo Zese TPM 22 9 0 04 Aug 2020
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs (Technical Report) Efthymia Tsamoura Víctor Gutiérrez-Basulto Angelika Kimmig TPM 38 16 0 18 Nov 2019
Value of Information in Probabilistic Logic Programs Sarthak Ghosh C. Ramakrishnan 34 1 0 18 Sep 2019
A Preliminary Report on Probabilistic Attack Normal Form for Constellation Semantics Theofrastos Mantadelis Stefano Bistarelli 13 1 0 24 Sep 2018
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach Riccardo Zese Giuseppe Cota E. Lamma Elena Bellodi Fabrizio Riguzzi 22 5 0 17 Sep 2018
Inference in Probabilistic Logic Programs using Lifted Explanations Arun Nampally C. Ramakrishnan LRM 17 2 0 20 Aug 2016
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic Stephen H. Bach Matthias Broecheler Bert Huang Lise Getoor TPM AI4CE 148 389 0 17 May 2015
Adaptive MCMC-Based Inference in Probabilistic Logic Programs Arun Nampally C. Ramakrishnan TPM 49 8 0 24 Mar 2014
Structure Learning of Probabilistic Logic Programs by Searching the Clause Space Elena Bellodi Fabrizio Riguzzi 97 77 0 09 Sep 2013
Viterbi training in PRISM Taisuke Sato Keiichi Kubota 135 8 0 22 Mar 2013
Well-Definedness and Efficient Inference for Probabilistic Logic Programming under the Distribution Semantics Fabrizio Riguzzi T. Swift 84 52 0 04 Oct 2011