1591 search results - page 162 / 319 » Random lifts of graphs |
188
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
171
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SODA
2007
ACM
15 years 8 months ago
2007
ACM
Random geometric graphs have been one of the fundamental models for reasoning about wireless networks: one places n points at random in a region of the plane (typically a square o...
160
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
192
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FOCS
2009
IEEE
16 years 1 months ago
2009
IEEE
— We study a simple game theoretic model for the spread of an innovation in a network. The diffusion of the innovation is modeled as the dynamics of a coordination game in which ...
197
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ICC
2008
IEEE
16 years 28 days ago
2008
IEEE
— We introduce a hypergraph based interference model for scheduling in wireless networks. As a generalization of the graph model, hypergraph considers the conflicts caused by su...