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JOIN
2007
69views more  JOIN 2007»
14 years 12 months ago
Layout of an Arbitrary Permutation in a Minimal Right Triangle Area
In VLSI layout of interconnection networks, routing two-point nets in some restricted area is one of the central operations. It aims usually to minimize the layout area, while red...
Maria Artishchev-Zapolotsky, Yefim Dinitz, Shimon ...
IJAR
2006
89views more  IJAR 2006»
14 years 12 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
SUM
2009
Springer
15 years 6 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
TVCG
2008
109views more  TVCG 2008»
14 years 12 months ago
Rapid Graph Layout Using Space Filling Curves
Abstract-- Network data frequently arises in a wide variety of fields, and node-link diagrams are a very natural and intuitive representation of such data. In order for a node-link...
Chris Muelder, Kwan-Liu Ma
EDM
2010
165views Data Mining» more  EDM 2010»
15 years 1 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
John C. Stamper, Tiffany Barnes, Marvin J. Croy