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ICML
2005
IEEE
14 years 7 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
TSMC
2010
13 years 29 days ago
Credal Semantics of Bayesian Transformations in Terms of Probability Intervals
In this paper we propose a credal representation of the interval probability associated with a belief function (b.f.), and show how it relates to several classical Bayesian transfo...
Fabio Cuzzolin
ECAI
2004
Springer
13 years 10 months ago
Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks
The task of eliciting all probabilities required for a Bayesian network can be supported by first acquiring qualitative constraints on the numerical quantities to be obtained. Buil...
Linda C. van der Gaag, Eveline M. Helsper
EKAW
2004
Springer
13 years 11 months ago
Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks
Among the various tasks involved in building a Bayesian network for a real-life application, the task of eliciting all probabilities required is generally considered the most daunt...
Eveline M. Helsper, Linda C. van der Gaag, Floris ...
NMR
2004
Springer
13 years 11 months ago
Probability, rational belief and belief change
A simple model of rational belief holds that: (i) an instantaneous snapshot of an ideally rational belief system corresponds to a probability distribution; and (ii) rational belie...
Charles G. Morgan