36 search results - page 3 / 8 » Asymptotic Model Selection for Directed Networks with Hidden... |
TELETRAFFIC
2007
Springer
13 years 12 months ago
2007
Springer
In this paper we present a method for determining optimal routes along selected paths in a wireless mesh network based on an interference aware delay analysis. We develop an analyt...
KDD
1998
ACM
13 years 10 months ago
1998
ACM
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
NN
1997
Springer
13 years 10 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
Occlusion is a difficult problem for appearance-based target tracking, especially when we need to track multiple targets simultaneously and maintain the target identities during t...
UAI
2004
13 years 7 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 ...