Featuring Multiple Local Optima to Assist the User in the Interpretation of Induced Bayesian Network Models.
Publikation: Forskning › Konferenceartikel i proceeding
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.
|Titel||Proceedings of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004)|
|Konference||Featuring Multiple Local Optima to Assist the User in the Interpretation of Induced Bayesian Network Models.|
|Periode||19/05/10 → …|
ISSN ; -
- Bayesian networks, Automatic validation
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