Abstract
We propose a method to assist the user in the interpretation of the best
Bayesian network model indu- ced from data. The method consists in extracting
relevant features from the model (e.g. edges, directed paths and Markov
blankets) and, then, assessing the con¯dence in them by studying multiple
locally optimal models of the data. We prove that our approach to con¯- dence
estimation is asymptotically optimal under the faithfulness as- sumption.
Experiments with syn- thetic and real data show that the method is accurate and
informative.
Originalsprog | Engelsk |
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Titel | Proceedings of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004) |
Publikationsdato | 2004 |
Sider | 1683-1690 |
Status | Udgivet - 2004 |
Begivenhed | Featuring Multiple Local Optima to Assist the User in the Interpretation of Induced Bayesian Network Models. - Varighed: 19 maj 2010 → … |
Konference
Konference | Featuring Multiple Local Optima to Assist the User in the Interpretation of Induced Bayesian Network Models. |
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Periode | 19/05/2010 → … |
Bibliografisk note
ISSN ; -Emneord
- Bayesian networks
- Automatic validation