Learning Bayesian networks with hidden variables using the combination of EM and evolutionary algorithms

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2035, Issue , 2001, Pages 568-574

  Tian, Fengzhan ^a   Lu, Yuchang ^a   Shi, Chunyi ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; DATA MINING; LEARNING ALGORITHMS;

EM ALGORITHMS; HIDDEN VARIABLE; INCOMPLETE DATA; LEARNING BAYESIAN NETWORKS; MUTATION OPERATORS; NETWORK STRUCTURE LEARNING; NETWORK STRUCTURES;

EVOLUTIONARY ALGORITHMS;

EID: 84942892611     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45357-1_60     Document Type: Conference Paper

References (10)

1. Binder, J., Koller, D., Russell, S., Kanazawa, K.: Adaptive probabilistic networks with hidden variables. Machine Learning 29 (1997) 213-244
2. Cooper, G., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9 (1992) 309-347
3. DeJong, K. A., Spears, W. M.: An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms. Proceedings of the First International Conference on Parallel Problem Solving from Nature (1990), Dortmund, Germany.
4. Friedman, N.: Learning Belief Networks in the Presence of Missing Values and Hidden Variables. Fourteenth International Conference on Machine Learning (ICML'97) (1998), Vanderbilt University, Morgan Kaufmann Publishers
5. Heckerman, D.: A tutorial on learning Bayesian network. Technical Report MSR-TR-95-06, Microsoft research (1995)
6. Lam, W., Bacchus, F.: Learning Bayesian belief networks: An approach based on the MDL principle. Computational Intelligence 10 (1994) 269-293
7. Larranaga, P., Poza, M. et al: Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters. IEEE Journal on Pattern Analysis and Machine Intelligence 18(9) (1996) 912-926
8. Lauritzen, S. L.: The EM algorithm for graphical association models with missing data. Computational Statistics and Data Analysis 19 (1995) 191-201
9. Myers J. W., Laskey K. B., DeJong K. A.: Learning Bayesian networks from incomplete data using evolutionary algorithms. In GECCO'99 (1999)
10. Syswerda, G.: Uniform Crossover in Genetic Algorithms. Proceedings of the 3rd International Conference on Genetic Algorithms (1989), Morgan Kaufman