305 search results - page 7 / 61 » Bayesian Learning of Markov Network Structure |
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
UAI
2001
13 years 9 months ago
2001
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
ICDM
2003
IEEE
14 years 29 days ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
ML
2006
ACM
13 years 7 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and Human-Computer Interaction. A part of this can be the recognition of m...