Unifying Logical and Statistical AI

Keywords

Computer science, Markov chain, Artificial intelligence, Inductive logic programming, Variable-order Markov model

References

• Towards Efficient Sampling: Exploiting Random Walk StrategiesWei Wei, Jordan Erenrich, Bart Selman — 2004
• Statistical Analysis of Non-Lattice DataJulian Besag — 1975
• Foundations of logic programming; (2nd extended ed.)John W. Lloyd — 1987
• An Analysis of First-Order Logics of ProbabilityJoseph Y. Halpern — 1989
• Discriminative Training of Markov Logic NetworksParag Singla, Pedro Domingos — 2005
• Hypergraph Lifting for Structure Learning in Markov Logic NetworksStanley Kok, Pedro Domingos — 2009
• Memory-Efficient Inference in Relational DomainsParag Singla, Pedro Domingos — 2006
• Sound and Efficient Inference with Probabilistic and Deterministic DependenciesHoifung Poon, Pedro Domingos — 2006
• Social Network Analysis: Methods and ApplicationsStanley Wasserman, Katherine Faust — 1994
• On the Hardness of Approximate ReasoningDan Roth — 1993
• WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibilityDavid J. Lunn, Andrew C. Thomas, Nicky Best — 2000
• Foundations of Logic ProgrammingJohn W. Lloyd — 1984
• Joint Inference in Information ExtractionHoifung Poon, Pedro Domingos — 2007
• Markov Chains on Orbits of Permutation GroupsMathias Niepert — 2012
• A Probabilistic-Logical Framework for Ontology MatchingMathias Niepert, Christian Meilicke, Heiner Stuckenschmidt — 2010
• Conditioning in First-Order Knowledge Compilation and Lifted Probabilistic InferenceGuy Van den Broeck, Jesse Davis — 2012
• A Scaled Conjugate Gradient Algorithm for Fast Supervised LearningMartin F. Møller — 1990
• From knowledge bases to decision modelsMichael P. Wellman, John S. Breese, Robert P. Goldman — 1992
• Markov logic networksMatthew Richardson, Pedro Domingos — 2006
• Markov Logic: An Interface Layer for Artificial IntelligencePedro Domingos, Daniel Lowd — 2009

Cited by

• Repairing Inconsistent Taxonomies Using MAP Inference and Rules of ThumbElie Merhej, Steven Schockaert, Martine De Cock — 2014
• Knowledge Unit Relation Recognition Based on Markov Logic NetworksWei Wang, Wei Wei, Jie Hu — 2014
• Understanding Social Networks From a Multiagent PerspectiveYichuan Jiang, Jiuchuan Jiang — 2014
• Situated incremental natural language understanding using Markov Logic NetworksCasey Kennington, David Schlangen — 2014
• Scalable Inference for Gaussian Process Models with Black-Box LikelihoodsAmir Dezfouli, Edwin V. Bonilla — 2015
• Trajectories As a Unifying Cross Domain Feature for Surveillance SystemsYiwen Wan — 2014
• Using Statistico-Relational Model for Activity Recognition in Smart HomeAlexis Brenon, François Portet, Michel Vacher — 2015
• Knowledge Extraction and Knowledge Integration governed by Łukasiewicz LogicsCarlos Leandro — 2016
• Using Markov logic for automation of mobile network managementJuha Niiranen — 2016
• Most Probable Explanation for MetaProbLog and Its Application in Heart Sound SegmentationTheofrastos Mantadelis, Jorge Oliveira, Miguel Coimbra — 2015
• The Symbolic Interior Point MethodMartin Mladenov, Vaishak Belle, Kristian Kersting — 2016
• Probabilistic Abductive Logic Programming using Dirichlet PriorsCălin-Rareş Turliuc, Luke Dickens, Alessandra Russo — 2016
• Generic Inference in Latent Gaussian Process ModelsEdwin V. Bonilla, Karl Krauth, Amir Dezfouli — 2016
• Models for Music Analysis From a Markov Logic Networks PerspectiveHélène Papadopoulos, George Tzanetakis — 2017
• Introducing DRAIL – a Step Towards Declarative Deep Relational LearningXiao Zhang, María Leonor Pacheco, Chang Li — 2016
• A Generalized Multidimensional Evaluation Framework for Player Goal RecognitionWookhee Min, Alok Baikadi, Bradford Mott — 2016
• Learning through Overcoming InconsistenciesDu Zhang, Éric Grégoire — 2016
• Representation and Computation in Cognitive ModelsKenneth D. Forbus, Chen Liang, Irina Rabkina — 2017
• Interpreting Data from Scanned TablesWaleed Farrukh, Antonio Foncubierta–Rodríguez, Anca-Nicoleta Ciubotaru — 2017
• Pairwise preferences learning for recommender systemsNunung Nurul Qomariyah — 2018

Related papers

• Markov logic networksMatthew Richardson, Pedro Domingos — 2006
• Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceJudea Pearl — 1988
• Inductive Logic Programming: Theory and MethodsStephen Muggleton, Luc De Raedt — 1994
• BLOG: Probabilistic Models with Unknown ObjectsBrian Milch, Bhaskara Marthi, Stuart Russell — 2005
• Markov LogicPedro Domingos, Stanley Kok, Daniel Lowd — 2008
• Markov logic: a unifying language for knowledge and information managementPedro Domingos — 2008
• Markov Logic: An Interface Layer for Artificial IntelligencePedro Domingos, Daniel Lowd — 2009
• Discriminative Training of Markov Logic NetworksParag Singla, Pedro Domingos — 2005