490 search results - page 6 / 98 » Structural Inference of Hierarchies in Networks |
FEGC
2008
13 years 8 months ago
2008
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
RIA
2008
13 years 6 months ago
2008
Situations, the semantic interpretations of context, provide a better basis for selecting adaptive behaviours than context itself. The definition of situations typically rests on t...
IJCAI
1997
13 years 8 months ago
1997
Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
CCR
2002
13 years 6 months ago
2002
It has long been thought that the Internet, and its constituent networks, are hierarchical in nature. Consequently, the network topology generators most widely used by the Interne...