Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)
Reference36 articles.
1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In N. Petrov F. Czaki (Eds.) 2nd International Symposium on Information Theory (pp. 267–281). Bydapest: Akademiai Kaido.
2. Baladanddayuthapani, V., Talluri, R., Ji, Y., Coombes, K.R., Lu, Y., Hennessy, B.T., Davies, M.A., & Mallick, B.K. (2014). Bayesian sparse graphical models for classification with application to protein expression data. The Annals of Applied Statistics, 8, 1443–1468.
3. Bagirov, A.M., Ferguson, B., Ivkovic, S., Saunders, G., & Yearwood, J. (2003). New algorithms for multi-class cancer diagnosis using tumor gene expression signatures. Bioinformatics, 19, 1800–1807.
4. Bicciato, S., Luchini, A., & Bello, C.D. (2003). PCA disjoint models for multiclass cancer analysis using gene expression data. Bioinformatics, 19, 571–578.
5. Bielza, C., Li, G., & Larrañaga, P. (2011). Multi-dimensional classification with Bayesian networks. International Journal of Approximate Reasoning, 52, 705–727.
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