Multi-label classification with Bayesian network-based chain classifiers

Author:

Enrique Sucar L.,Bielza Concha,Morales Eduardo F.,Hernandez-Leal Pablo,Zaragoza Julio H.,Larrañaga Pedro

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference20 articles.

1. Multi-dimensional classification with Bayesian networks;Bielza;International Journal of Approximate Reasoning,2011

2. Borchani, H., Bielza, C., Larrañaga, P., 2010. Learning CB-decomposable multi-dimensional Bayesian network classifiers. In: Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM’10), pp. 25–32.

3. Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: an application to predict the European quality of life-5dimensions (EQ-5D) from the 39-item Parkinson’s disease questionnaire (PDQ-39);Borchani;Journal of Biomedical Informatics,2012

4. A discretization algorithm based on class-attribute contingency coefficient;Cheng-Jung;Information Sciences,2008

5. Bayes optimal multilabel classification via probabilistic classifier chains;Dembczynski,2010

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