301 search results - page 7 / 61 » Kronecker Graphs: An Approach to Modeling Networks |
RECOMB
2005
Springer
14 years 9 months ago
2005
Springer
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
UAI
2004
13 years 10 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
ICASSP
2011
IEEE
13 years 13 days ago
2011
IEEE
Many models of wireless sensor networks (WSNs) assume a perfect synchronization along the graph of such network as a simplifying assumption. In our contribution we base our invest...
ICML
2007
IEEE
14 years 9 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...
IROS
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— In this paper, we present an optimization framework for target tracking with mobile robot teams. The target tracking problem is modeled as a generic semidefinite progr...