Instance-Based Learning Algorithms
Machine Learning
On estimating probabilities in tree pruning
EWSL-91 Proceedings of the European working session on learning on Machine learning
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Learning Bayesian networks for clustering by means of constructive induction
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering
Pattern Recognition Letters
Class discovery in gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction
Machine Learning - Special issue: Unsupervised learning
A Survey of Optimization by Building and Using Probabilistic Models
Computational Optimization and Applications
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
The equation for response to selection and its use for prediction
Evolutionary Computation
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning equivalence classes of Bayesian network structures
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Side chain placement using estimation of distribution algorithms
Artificial Intelligence in Medicine
Triangulation of Bayesian networks with recursive estimation of distribution algorithms
International Journal of Approximate Reasoning
A novel classification learning framework based on estimation of distribution algorithms
International Journal of Computing Science and Mathematics
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
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This paper proposes using estimation of distribution algorithms for unsupervised learning of Bayesian networks, directly as well as within the framework of the Bayesian structural EM algorithm. Both approaches are empirically evaluated in synthetic and real data. Specifically, the evaluation in real data consists in the application of this paper's proposals to gene expression data clustering, i.e., the identification of clusters of genes with similar expression profiles across samples, for the leukemia database. The validation of the clusters of genes that are identified suggests that these may be biologically meaningful.