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» A New Characterization of Probabilities in Bayesian Networks
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ECSQARU
2009
Springer
13 years 5 months ago
When in Doubt ... Be Indecisive
For a presented case, a Bayesian network classifier in essence computes a posterior probability distribution over its class variable. Based upon this distribution, the classifier&#...
Linda C. van der Gaag, Silja Renooij, Wilma Steene...
AI
2000
Springer
13 years 7 months ago
Credal networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...
Fabio Gagliardi Cozman
WOSP
2005
ACM
14 years 29 days ago
Performance characterization of decentralized algorithms for replica selection in distributed object systems
Designers of distributed systems often rely on replicas for increased robustness, scalability, and performance. Replicated server architectures require some technique to select a ...
Ceryen Tan, Kevin Mills
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
13 years 11 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
BMCBI
2007
172views more  BMCBI 2007»
13 years 7 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...