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RSFDGRC
2005
Springer
208views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
Abstract. In this paper, we revisit the consensus of computational complexity on exact inference in Bayesian networks. We point out that even in singly connected Bayesian networks,...
Dan Wu, Cory J. Butz
RSFDGRC
2005
Springer
14 years 28 days ago
Ontological Framework for Approximation
We discuss an ontological framework for approximation, i.e., to approximation of concepts and vague dependencies specified in a given ontology. The presented approach is based on ...
Jaroslaw Stepaniuk, Andrzej Skowron
RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
Rough Sets and Higher Order Vagueness
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
Andrzej Skowron, Roman W. Swiniarski