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» Incremental Probabilistic Inference
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AUSAI
2005
Springer
14 years 3 months ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
UAI
2000
13 years 11 months ago
Pivotal Pruning of Trade-offs in QPNs
Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. Due to their coarse level of representation detail, qualitative probabilist...
Silja Renooij, Linda C. van der Gaag, Simon Parson...
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 10 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
SEMWEB
2010
Springer
13 years 7 months ago
Optimizing Enterprise-Scale OWL 2 RL Reasoning in a Relational Database System
OWL 2 RL was standardized as a less expressive but scalable subset of OWL 2 that allows a forward-chaining implementation. However, building an enterprise-scale forward-chaining ba...
Vladimir Kolovski, Zhe Wu, George Eadon
IAT
2009
IEEE
14 years 1 months ago
Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables
Abstract--This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through mess...
Patrick de Oude, Gregor Pavlin