704 search results - page 95 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
89
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PAMI
2010
14 years 9 months ago
2010
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
ICDM
2009
IEEE
14 years 8 months ago
2009
IEEE
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
106
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MOBICOM
2012
ACM
13 years 1 months ago
2012
ACM
The cellular industry is evaluating architectures to distribute the signal processing in radio access networks. One of the options is to process the signals of all base stations o...
JETAI
1998
14 years 10 months ago
1998
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
FLAIRS
2001
15 years 13 days ago
2001
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...