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EUSFLAT
2003

Bayesian networks for continuous values and uncertainty in the learning process

10 years 2 months ago
Bayesian networks for continuous values and uncertainty in the learning process
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The database is reorganised in a new form of representation called reduced database where data are treated as distributions on symbolic values.
J. F. Baldwin, E. Di Tomaso
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where EUSFLAT
Authors J. F. Baldwin, E. Di Tomaso
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