Biblio

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2005
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks", Evolutionary Computation, pp. 43-66, 2005.
2004
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Unsupersived learning of Bayesian networks via estimation of distribution algorithms: an application to gene expression data clustering", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 12, pp. 63-82, 2004.
2002
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Benefits of data clustering in multimodal function optimization via EDAs", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, 2002.
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Learning recursive Bayesian multinets for clustering by means of constructive induction", Machine Learning, vol. 47, pp. 63-89, 2002.
2001
Peña, J. M., J. A. Lozano, P. Larrañaga, and I. Inza, "Dimensionality reduction in unsupervised learning of conditional Gaussian networks", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 590–603, 2001.
2000
Peña, J. M., J. A. Lozano, and P. Larrañaga, "An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering", Pattern Recognition Letters, vol. 21, no. 8, pp. 779-786, 2000.
1999
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Learning Bayesian networks for clustering by means of constructive induction", Pattern Recognition Letters, vol. 20, no. 11-13, pp. 1219-1230, 1999.