Jose M. Peña
Jose M. Peña
Verified email at liu.se - Homepage
Title
Cited by
Cited by
Year
An empirical comparison of four initialization methods for the k-means algorithm
JM Pena, JA Lozano, P Larranaga
Pattern recognition letters 20 (10), 1027-1040, 1999
10291999
Optimization in continuous domains by learning and simulation of Gaussian networks
P Larrañaga, R Etxeberria, JA Lozano, JM Peña
2702000
Optimization by learning and simulation of Bayesian and Gaussian networks
P Larranaga, R Etxeberria, JA Lozano, JM Pena, JM Pe
2271999
Towards scalable and data efficient learning of Markov boundaries
JM Pena, R Nilsson, J Björkegren, J Tegnér
International Journal of Approximate Reasoning 45 (2), 211-232, 2007
2182007
Consistent feature selection for pattern recognition in polynomial time
R Nilsson, JM Pena, J Björkegren, J Tegnér
The Journal of Machine Learning Research 8, 589-612, 2007
1852007
Combinatorial optimization by learning and simulation of Bayesian networks
P Larranaga, R Etxeberria, JA Lozano, JM Pena
arXiv preprint arXiv:1301.3871, 2013
1652013
Growing Bayesian network models of gene networks from seed genes
JM Pena, J Björkegren, J Tegnér
Bioinformatics 21 (suppl_2), ii224-ii229, 2005
882005
High-resolution spectroscopic study of extremely metal-poor star candidates from the SkyMapper survey
HR Jacobson, S Keller, A Frebel, AR Casey, M Asplund, MS Bessell, ...
The Astrophysical Journal 807 (2), 171, 2015
862015
Dimensionality reduction in unsupervised learning of conditional Gaussian networks
JM Pena, JA Lozano, P Larranaga, I Inza
IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (6), 590-603, 2001
762001
An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering
JM Peña, JA Lozano, P Larrañaga
Pattern Recognition Letters 21 (8), 779-786, 2000
712000
On local optima in learning Bayesian networks
JD Nielsen, T Kocka, JM Pena
arXiv preprint arXiv:1212.2500, 2012
632012
Learning recursive Bayesian multinets for data clustering by means of constructive induction
JM Peña, JA Lozano, P Larrañaga
Machine Learning 47 (1), 63-89, 2002
632002
Unsupervised feature subset selection
N Søndberg-Madsen, C Thomsen, JM Pena
Aalborg University. Department of Computer Science, 2003
592003
Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks
JM Peña, JA Lozano, P Larrañaga
Evolutionary Computation 13 (1), 43-66, 2005
532005
Learning dynamic Bayesian network models via cross-validation
JM Pena, J Björkegren, J Tegnér
Pattern Recognition Letters 26 (14), 2295-2308, 2005
402005
Evaluating feature selection for SVMs in high dimensions
R Nilsson, JM Pena, J Björkegren, J Tegnér
European Conference on Machine Learning, 719-726, 2006
392006
Learning gaussian graphical models of gene networks with false discovery rate control
JM Pena
European conference on evolutionary computation, machine learning and data …, 2008
362008
Scalable, efficient and correct learning of Markov boundaries under the faithfulness assumption
JM Pena, J Björkegren, J Tegnér
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2005
352005
Unsupervised learning of Bayesian networks via estimation of distribution algorithms: an application to gene expression data clustering
JM Pena, JA Lozano, P Larranaga
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2004
352004
Detecting multivariate differentially expressed genes
R Nilsson, JM Peña, J Björkegren, J Tegnér
BMC bioinformatics 8 (1), 1-10, 2007
342007
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