From continuous to discrete variables for Bayesian network classifiers

Using graphical models to represent independent structure in multivariate probability models was studied over a few years. In this framework, Bayesian networks are proposed as an interesting approach for uncertain reasoning. Within the framework of pattern recognition, many methods of classification...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	El-Matouat, F., Colot, O., Vannoorenberghe, P., Labiche, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Biomedical engineering Cost accounting Data analysis Graphical models Medical diagnosis Pattern recognition Probability Systems engineering and theory Uncertainty
Online-Zugang:	Volltext bestellen
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