Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space (1997)

by Shumeet Baluja , Scott Davies
Citations:114 - 2 self

Active Bibliography

1 Doctoral Thesis – Supervisor Ing, Josef Schwarz, Jiří Očenášek - 2002
22 Parallel estimation of distribution algorithms – Jiří Očenášek - 2002
1 Pool-wise crossover in genetic algorithms: An informationtheoretic view – Shumeet Baluja, Scott Davies - 1998
43 Optimization by learning and simulation of Bayesian and Gaussian networks – P. Larrañaga, R. Etxeberria, J. A. Lozano, J.M. Peña, J. M. Pe~na - 1999
33 Fast Probabilistic Modeling for Combinatorial Optimization – Shumeet Baluja, Scott Davies - 1998
5 Using A Priori Knowledge To Create Probabilistic Models For Optimization – Shumeet Baluja - 2002
Research on the Improvement of Efficiency of EDAs for Optimization – Topon Kumar Paul - 2004
6 Learning Bayesian belief networks with neural network estimators – Stefano Monti, Gregory F. Cooper - 1997
11 Learning hybrid Bayesian networks from data – Stefano Monti, Gregory F. Cooper - 1998
38 Linkage Information Processing In Distribution Estimation Algorithms – Peter A.N. Bosman, Dirk Thierens, Peter A. N, Bosman Dirk Thierens - 1999
42 Feature Subset Selection by Bayesian networks: a comparison with genetic and sequential algorithms – I. Inza, P. Larrañaga, B. Sierra
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Incremental Activity Modelling in Multiple Disjoint Cameras – Chen Change Loy, Tao Xiang, Shaogang Gong
Activity Understanding and Unusual Event Detection in Surveillance Videos Chen Change – unknown authors - 2010
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
9 An introduction and survey of estimation of distribution algorithms – Mark Hauschild, Martin Pelikan - 2011
54 Learning Bayesian Network Structures by Searching For the Best Ordering With Genetic Algorithms – Pedro Larrañaga, Cindy M. H. Kuijpers, Roberto H. Murga, Yosu Yurramendi - 1996
71 Learning Bayesian Networks by Genetic Algorithms. A case study in the prediction of survival in malignant skin melanoma – P. Larranaga, B. Sierra, M. J. Gallego, M. J. Michelena, J. M. Picaza - 1997
6 Evolutionary Algorithms + Graphical Models = Scalable Black-Box Optimization – Martin Pelikan, Kumara Sastry, David E. Goldberg - 2001