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
10071999
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
2261999
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
2112007
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
1742007
Combinatorial optimization by learning and simulation of Bayesian networks
P Larranaga, R Etxeberria, JA Lozano, JM Pena
arXiv preprint arXiv:1301.3871, 2013
1632013
Growing Bayesian network models of gene networks from seed genes
JM Pena, J Björkegren, J Tegnér
Bioinformatics 21 (suppl_2), ii224-ii229, 2005
872005
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
822015
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
752001
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
742000
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
662002
On local optima in learning Bayesian networks
JD Nielsen, T Kocka, JM Pena
arXiv preprint arXiv:1212.2500, 2012
622012
Unsupervised feature subset selection
N Søndberg-Madsen, C Thomsen, JM Pena
Aalborg University. Department of Computer Science, 2003
572003
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
A review of cooperation between evolutionary computation and probablistic graphical models
R LARRANAGA
Proc. of the Second Symposium on Artificial Intelligence CIMAF 99, 1999
521999
Learning dynamic Bayesian network models via cross-validation
JM Pena, J Björkegren, J Tegnér
Pattern Recognition Letters 26 (14), 2295-2308, 2005
392005
Evaluating feature selection for SVMs in high dimensions
R Nilsson, JM Pena, J Björkegren, J Tegnér
European Conference on Machine Learning, 719-726, 2006
362006
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
362004
Detecting multivariate differentially expressed genes
R Nilsson, JM Peña, J Björkegren, J Tegnér
BMC bioinformatics 8 (1), 1-10, 2007
342007
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
332005
The system can't perform the operation now. Try again later.
Articles 1–20