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» Structural Inference of Hierarchies in Networks
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IJAR
2010
152views more  IJAR 2010»
14 years 12 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
LCN
2008
IEEE
15 years 7 months ago
Range queries and load balancing in a hierarchically structured P2P system
—Structured Peer-to-Peer (P2P) systems are highly scalable, self-organizing, and support efficient lookups. Furthermore, Distributed Hash Tables (DHTs), due to their features, a...
Simon Rieche, Bui The Vinh, Klaus Wehrle
IDA
2009
Springer
15 years 8 months ago
Learning Natural Image Structure with a Horizontal Product Model
We present a novel extension to Independent Component Analysis (ICA), where the data is generated as the product of two submodels, each of which follow an ICA model, and which comb...
Urs Köster, Jussi T. Lindgren, Michael Gutman...
CGF
2008
110views more  CGF 2008»
15 years 1 months ago
TimeRadarTrees: Visualizing Dynamic Compound Digraphs
The evolution of dependencies in information hierarchies can be modeled by sequences of compound digraphs with edge weights. In this paper we present a novel approach to visualize...
Michael Burch, Stephan Diehl
SAC
2006
ACM
15 years 7 months ago
Building the functional performance model of a processor
In this paper, we present an efficient procedure for building a piecewise linear function approximation of the speed function of a processor with hierarchical memory structure. Th...
Alexey L. Lastovetsky, Ravi Reddy, Robert Higgins