Transformation Rules For Lifted Inference In Relational Probabilistic Logic Knowledge Bases


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Transformation rules for lifted inference in relational probabilistic logic knowledge bases


Transformation rules for lifted inference in relational probabilistic logic knowledge bases

Author: Annika Krämer

language: de

Publisher:

Release Date: 2011


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Foundations of Information and Knowledge Systems


Foundations of Information and Knowledge Systems

Author: Thomas Lukasiewicz

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-02-22


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This book constitutes the proceedings of the 7th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2012, held in Kiel, Germany, in March 2012. The 12 regular and 8 short papers, presented together with two invited talks in full paper-length, were carefully reviewed and selected from 53 submissions. The contributions cover foundational aspects of information and knowledge systems. These include the application of ideas, theories or methods from specific disciplines to information and knowledge systems, such as discrete mathematics, logic and algebra, model theory, informaiton theory, complexity theory, algorithmics and computation, statistics, and optimization.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty


Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author: Sébastien Destercke

language: en

Publisher: Springer

Release Date: 2015-07-11


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This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiègne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69 submissions and cover topics on decision theory and preferences; argumentation; conditionals; game theory; belief update; classification; inconsistency; graphical models; Bayesian networks; belief functions; logic; and probabilistic graphical models for scalable data analytics. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.