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AI
2006
Springer
15 years 10 months ago
Exploiting Dynamic Independence in a Static Conditioning Graph
Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
Kevin Grant, Michael C. Horsch
ECAI
2004
Springer
15 years 10 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier
EDBTW
2006
Springer
15 years 10 months ago
A Calculus for Propagating Semantic Annotations Through Scientific Workflow Queries
Scientific workflows facilitate automation, reuse, and reproducibility of scientific data management and analysis tasks. Scientific workflows are often modeled as dataflow networks...
Shawn Bowers, Bertram Ludäscher
AAAI
2007
15 years 9 months ago
Macroscopic Models of Clique Tree Growth for Bayesian Networks
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing ...
Ole J. Mengshoel
DLOG
2008
15 years 9 months ago
Rewriting Rules into SROIQ Axioms
Description Logics are a family of very expressive logics but some forms of knowledge are much more intuitive to formulate otherwise, say, as rules. Rules in DL can be dealt with t...
Francis Gasse, Ulrike Sattler, Volker Haarslev