Learning Bayesian networks by evolution for classifier combination

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2009, Pages 966-970

  De Stefano, C ^a   Fontanella, F ^a   Scotto Di Freca, A ^a   Marcelli, A ^b  

^a UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

^b UNIVERSITY OF SALERNO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACYCLIC GRAPHS; CLASSIFIER COMBINATION; COMBINING CLASSIFIERS; COMBINING METHOD; CROSSOVER AND MUTATION; LEARNING BAYESIAN NETWORKS; MULTIPLE CLASSIFIERS;

CLASSIFIERS; DATA STRUCTURES; DISTRIBUTED PARAMETER NETWORKS; EVOLUTIONARY ALGORITHMS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL OPERATORS; SECURITY OF DATA; SPEECH RECOGNITION;

BAYESIAN NETWORKS;

EID: 71249103431     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.177     Document Type: Conference Paper

References (10)

1. G. F. Cooper and E. Herskovits. A bayesian method for the induction of probabilistic networks from data. Machine Learning, 9(4):309-347, October 1992.
2. C. De Stefano, C. D'Elia, A. Marcelli, and A. Scotto di Freca. Using bayesian network for combining classifiers. In Proc. of the 14th Int. Conf. on Image Analysis and Processing, pages 73-80, 2007.
3. D. E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Professional, January 1989.
4. D. Heckerman. A tutorial on learning with bayesian networks. Technical report, Learning in Graphical Models, 1995.
5. *1. Pattern Recognition Letters, 24(16):3027-3036, 2003.
6. T. Kohonen. Self organizing map. Springer., Berlin, 1995.
7. L. I. Kuncheva. Combining Pattern Classifiers: Methods and Algorithms. Wiley-Interscience, 2004.
8. J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988.
9. D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learning representations by back-propagating errors. Nature, 323:533-536, 1986.
10. M. L. Wong and K.-S. Leung. An efficient data mining method for learning bayesian networks using an evolutionary algorithm-based hybrid approach. IEEE Trans. Evolutionary Computation, 8(4):378-404, 2004.