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ECSQARU
2009
Springer

When in Doubt ... Be Indecisive

9 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's classification function returns a single, determinate class value and thereby hides the uncertainty involved. To provide reliable decision support, however, the classifier should be able to convey indecisiveness if the posterior distribution computed for the case doesnotclearly favouroneclassvalue overanother. In thispaper we present an approach for this purpose, and introduce new measures to capture the performance and practicability of such classifiers.
Linda C. van der Gaag, Silja Renooij, Wilma Steene
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where ECSQARU
Authors Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen
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