Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers

@article{Rodrguez2008MultiObjectiveLO,
  title={Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers},
  author={Juan Diego Rodr{\'i}guez and Jos{\'e} Antonio Lozano},
  journal={2008 Eighth International Conference on Hybrid Intelligent Systems},
  year={2008},
  pages={501-506}
}
Multi-dimensional classification is a generalization of supervised classification that considers more than one class variable to classify. In this paper we review the existing multi-dimensional Bayesian classifiers and introduce a new one: the KDB multi-dimensional classifier. Then we define different classification rules for multi-dimensional scope. Finally, we introduce a structural learning approach of a multi-dimensional Bayesian classifier based on the multi-objective evolutionary… CONTINUE READING
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