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CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements.

, , , , and . J. Artif. Intell. Res., (2004)

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Ontology Design for Scientific Theories That Make Probabilistic Predictions, , and . IEEE Intelligent Systems, 24 (1): 27-36 (January 2009)Semantic Science: machine understandable scientific theories and data. http://Semantic-Science.org, (2007)Record Linkage to Match Customer Names: A Probabilistic Approach., , and . CoRR, (2018)Towards Completely Lifted Search-based Probabilistic Inference, , and . CoRR, (2011)Logic, Probability and Computation: Foundations and Issues of Statistical Relational AI.. LPNMR, volume 6645 of Lecture Notes in Computer Science, page 1-9. Springer, (2011)Logic, Knowledge Representation, and Bayesian Decision Theory.. Computational Logic, volume 1861 of Lecture Notes in Computer Science, page 70-86. Springer, (2000)Comparing Aggregators for Relational Probabilistic Models., , , , , , , and . CoRR, (2017)A Probabilistic Approach for Predicting Landslides by Learning a Self-Aligned Deep Convolutional Model., , and . CoRR, (2019)Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves., and . CoRR, (2020)Reports of the AAAI 2014 Conference Workshops., , , , , , , , , and 24 other author(s). AI Mag., 36 (1): 87-98 (2015)