References
- P. Larranaga, M. Poza, Y. Yurramendi, R. H. Murga, and C.M.H. Kuijpers, 'Structure learning of Bayesian networks by genetic algorithms: A performance analysis of control parameters,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 18, no. 9, pp. 912-926, 1996 https://doi.org/10.1109/34.537345
- P. Larranaga, C.M.H. Kuijpers, R. H. Murga, and Y. Yurramendi, 'Learning Bayesian network structures by searching for the best ordering with genetic algorithm,' IEEE Trans. on Systems, Man and Cybernetics-Part A, vol. 26, no. 4, pp. 487-493, 1996 https://doi.org/10.1109/3468.508827
- M. L. Wong, W. Lam, and K. S. Leung, 'Using evolutionary programming and minimum description length principle for data mining of Bayesian networks,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, no. 2, pp. 174-178, 1999 https://doi.org/10.1109/34.748825
- W. Lam, 'Bayesian network refinement via machine learning approach,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 240-251, 1998 https://doi.org/10.1109/34.667882
- S. Yang, and K.-C. Chang, 'Comparison of score metrics for Bayesian network learning,' IEEE Trans. on Systems, Man and Cybernetics-Part A, vol. 32, no. 3, pp. 419-428, 2002 https://doi.org/10.1109/TSMCA.2002.803772
- D. M. Chickering, D. Geiger, and D. Heckerman, 'Learning Bayesian networks is NP-complete,' Learning from Data: Artificial Intelligence and Statistics V (D. Fisher, H. Lenz (Eds.)), Springer-Verlag, pp. 121-130, 1996
- R. W. Robinson, 'Counting unlabeled acyclic digraphs,' Lecture Notes in Mathematics 622: Combinatorial Mathematics V, pp. 28-43, 1977
- Z. Kim, and R. Nevatia, 'Expandable Bayesian networks for 3D object description from multiple views and multiple mode inputs,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 6, pp. 769-774, 2003 https://doi.org/10.1109/TPAMI.2003.1201825
- R. Etxeberria, P. Larranaga and J. M. Picaza, 'Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data,' Pattern Recognition Letters, vol. 18, no. 11-13, pp. 1269-1273, Nov 1997 https://doi.org/10.1016/S0167-8655(97)00106-2
- G. Li, F. Tong, and H. Dai, 'Evolutionary structure learning algorithm for Bayesian network and penalized mutual information metric,' Proc. of IEEE Int. Conf. on Data Mining, pp. 615-616, 2001 https://doi.org/10.1109/ICDM.2001.989580
- C. Cotta, and J. Muruzabal, 'Towards a more efficient evolutionary induction of Bayesian networks,' Lecture Notes in Computer Science 2439, pp. 730-739, 2002
- H. C. Andersen, An Investigation into Genetic Algorithms, and the Relationship Between Speciation and the Tracking of Optima in Dynamic Functions, Honours thesis, Queensland University of Technology, Brisbane, Australia, November 1991
- W. Cedeno, and V. R. Vemuri, 'On the use of niching for dynamic landscapes,' IEEE Int. Conf. on Evolutionary Computation, pp. 361-366, 1997 https://doi.org/10.1109/ICEC.1997.592336
- A. Ghosh, S. Tstutsui, and H. Tanaka, 'Function optimization in non-stationary environment using steady state genetic algorithms with aging of individuals,' IEEE Int. Conf. on Evolutionary Computation, pp. 666-671, 1998 https://doi.org/10.1109/ICEC.1998.700119
- A. Garg, V. Pavlovic and J. M. Rehg, 'Boosted learning in dynamic Bayesian networks for multimodal speaker detection,' Proc. of the IEEE, vol. 91, no. 9, pp. 1355-1369, 2003 https://doi.org/10.1109/JPROC.2003.817119
- V. Robles, P. Larranaga, J. M. Pena, E. Menasalvas, M. S. Perez, and V. Herves, 'Bayesian networks as consensed voting system in the construction of a multi-classifier for protein secondary structure prediction,' Artificial Intelligence in Medicine, 2004. (in press)
- G. F. Cooper and E. Herskovits, 'A Bayesian method for the induction of probabilistic networks from data,' Machine Learning, vol. 7, pp. 299-347, 1992
- S. L. Lauritzen and D. J. Spiegelhalter, 'Local computations with probabilities on graphical structures and their applications on expert systems,' Journal Royal Statistical Society B, vol. 50, no. 2, pp. 157-224, 1988
- I. A. Beinlinch, H. J. Suermondt, R. M. Chavez and G. F. Cooper, 'The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks,' Proc. of the Second European Conf. on Artificial Intelligence in Medicine, pp. 247-256, 1989
- I. Good, 'Rational decisions,' Journal of the Royal Statistical Society B, vol. 14, pp. 107-114, 1952