Bayesian network classifiers. an application to remote sensing image classification
Cristina Solares, Ana María Sanz · 2005
Different probabilistic models for classification and prediction problems are anlyzed in this article studying their behaviour and capability in data classification. To show the capability of Bayesian Networks to deal with classification problems four types of Bayesian Networks are introduced, a General Bayesian Network, the Naive Bayes, a Bayesian Network Augmented Naive Bayes and the Tree Augmented Naive Bayes. Finally, the novel application of bayesian networks in classification of spectral remote sensing images is shown.