Within the wide field of classification on the Machine Learning discipline, Bayesian classifiers are very well established paradigms. They allow the user to work with probabilistic processes, as well as, with graphical representations of the relationships among the variables of a problem.
Keywords
- Systemic Lupus Erythematosus
- Bayesian Network
- Knowledge Discovery
- Basque Country
- Bayesian Classifier
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
R. Armañanzas. Solving bioinformatics problems by means of Bayesian classifiers and feature selection. Technical Report EHU-KZAA-IK-2/06, University of the Basque Country, 2006.
U. M. Fayyad and K. B. Irani. Multi-interval discretization of continuous-valued attributes for classification learning. In Proceedings of the Thirteenth Inter- national Joint Conference on Artificial Intelligence, pages 1022-1027. Morgan Kaufmann, 1993.
N. Friedman, D. Geiger, and M. Goldszmidt. Bayesian network classifiers. Machine Learning, 292:131-164, 1997.
N. Friedman, M. Goldsmidt, and A. Wyner. Data analysis with Bayesian net- works: A bootstrap approach. In Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, pages 196-205, 1999.
M. A. Hall and L. A. Smith. Feature subset selection: A correlation based filter approach. In N. Kasabov et al., editor, Proceedings of the Fourth International Conference on Neural Information Processing and Intelligent Information Systems, pages 855-858, Dunedin, 1997.
M. Minsky. Steps toward artificial intelligence. Transactions on Institute of Radio Engineers, 49:8-30, 1961.
M. Sahami. Learning limited dependence Bayesian classifiers. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pages 335-338, 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Armañanzas, R. et al. (2008). Bayesian Classifiers with Consensus Gene Selection: A Case Study in the Systemic Lupus Erythematosus. In: Bonilla, L.L., Moscoso, M., Platero, G., Vega, J.M. (eds) Progress in Industrial Mathematics at ECMI 2006. Mathematics in Industry, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71992-2_91
Download citation
DOI: https://doi.org/10.1007/978-3-540-71992-2_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71991-5
Online ISBN: 978-3-540-71992-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)