Optimization by learning and simulation of Bayesian and Gaussian networks (1999)

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by P. Larrañaga , R. Etxeberria , J. A. Lozano , J.M. Peña , J. M. Pe~na
Citations:43 - 6 self

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10 Inexact graph matching by means of Estimation of Distribution Algorithms – Endika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant, Claudia Boeres
6 Inexact graph matching using learning and simulation of Bayesian networks. An empirical comparison between different approaches with synthetic data – E. Bengoetxea, P. Larrañaga, I. Bloch, A. Perchant, C. Boeres - 2000
6 Evolutionary Algorithms + Graphical Models = Scalable Black-Box Optimization – Martin Pelikan, Kumara Sastry, David E. Goldberg - 2001
1 Doctoral Thesis – Supervisor Ing, Josef Schwarz, Jiří Očenášek - 2002
22 Parallel estimation of distribution algorithms – Jiří Očenášek - 2002
2 Computation – Kwong Sak Leung, Man Leung Wong, Jack C. Y. Cheng, Wai Lam
7 Algorithm Selection for Sorting and Probabilistic Inference: A Machine Learning-Based Approach – Haipeng Guo - 2003
4 iBOA: The Incremental Bayesian Optimization Algorithm – Martin Pelikan, Kumara Sastry, David E. Goldberg - 2008
255 Hierarchical Bayesian Optimization Algorithm = Bayesian Optimization Algorithm + Niching + Local Structures – Martin Pelikan, David. E. Goldberg - 2001
36 Learning Probabilistic Networks – Paul J Krause - 1998
42 Feature Subset Selection by Bayesian networks: a comparison with genetic and sequential algorithms – I. Inza, P. Larrañaga, B. Sierra
INTELLIGENT DISTRIBUTED FAULT AND PERFORMANCE MANAGEMENT FOR COMMUNICATION NETWORKS – Hongjun Li - 2002
88 Linkage Problem, Distribution Estimation, and Bayesian Networks – Martin Pelikan, Erick Cantu-Paz, David E. Goldberg - 2000
11 Bayesian Error-Bars for Belief Net Inference – Tim Van Allen, Russell Greiner, Peter Hooper - 2001
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
12 Population Markov Chain Monte Carlo – Kathryn Blackmond Laskey, James Myers - 2003
9 An introduction and survey of estimation of distribution algorithms – Mark Hauschild, Martin Pelikan - 2011
Chapter 7 Combining Search and Inference; – unknown authors
Chapter 10 Bounding Inference: mini-bucket – unknown authors