Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Feature subset selection by Bayesian network-based optimization
Artificial Intelligence
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
An introduction to variable and feature selection
The Journal of Machine Learning Research
Large-Sample Learning of Bayesian Networks is NP-Hard
The Journal of Machine Learning Research
A review of feature selection techniques in bioinformatics
Bioinformatics
Feature Subset Selection by Means of a Bayesian Artificial Immune System
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
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Bayesian networks have been widely applied to the feature selection problem. The proposed methods learn a Bayesian network from the available dataset and utilize the Markov Blanket of the target feature to select the relevant features. And we apply an artificial immune system as search procedure to the Bayesian network learning problem. It find suitable Bayesian networks that best fit the dataset. Due to the resulting multimodal search capability, several subsets of features are obtained. Experimental results were carried out in order to evaluate the proposed methodology in classification problems and the subsets of features were produced.