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Gene Selection For Cancer Classification Using Wrapper Approaches., , , and . IJPRAI, 18 (8): 1373-1390 (2004)Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains., , , and . Connect. Sci., 19 (4): 297-319 (2007)Tree-Structured Bayesian Networks for Wrapped Cauchy Directional Distributions., , and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 207-216. Springer, (2016)Probabilistic Graphical Markov Model Learning: An Adaptive Strategy., , , and . MICAI, volume 5845 of Lecture Notes in Computer Science, page 225-236. Springer, (2009)Mining Concept-Drifting Data Streams Containing Labeled and Unlabeled Instances., , and . IEA/AIE (1), volume 6096 of Lecture Notes in Computer Science, page 531-540. Springer, (2010)Semi-supervised Projected Clustering for Classifying GABAergic Interneurons., , , , , and . AIME, volume 7885 of Lecture Notes in Computer Science, page 156-165. Springer, (2013)Sparse regularized local regression., , and . Comput. Stat. Data Anal., (2013)Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data., , and . Pattern Recognit. Lett., 18 (11-13): 1269-1273 (1997)Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms., , and . Probabilistic Graphical Models, (2002)Inexact graph matching for model-based recognition: Evaluation and comparison of optimization algorithms, , , and . Pattern Recognition, 38 (11): 2099 - 2113 (2005)