Enhancing classifiers through neural network ensembles

ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing

Volumn , Issue , 2007, Pages 57-64

  Onaci, Alexandru ^a   Vidrighin, Camelia ^a   Cuibus, Mihai ^a   Potolea, Rodica ^a  

^a TECHNICAL UNIVERSITY OF CLUJ NAPOCA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; INTELLIGENT COMPUTER; INTERNATIONAL CONFERENCES; NEURAL NETWORK ENSEMBLES; PRE-PROCESSING STEP;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; VEGETATION;

NEURAL NETWORKS;

EID: 47749142079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCP.2007.4352142     Document Type: Conference Paper

References (14)

1. L. Breiman, "Bagging Predictors", Machine Learning, 1996.
2. P. Cunningham, J. Carney, and S. Jacob, "Stability problems with artificial neural networks and the ensemble solution," Artificial Intelligence in Medicine, vol. 20, no.3, pp.217-225, 2000.
3. P. Domingos, "Knowledge Discovery via Multiple Models", Intelligent Data Analysis, 2, 187-202, 1998.
4. E. Frank and I. Witten. "Generating Accurate Rule Sets Without Global Optimization", Machine Learning: Proceedings of the Fifteenth International Conference, Morgan Kaufmann Publishers, San Francisco, 1998.
5. Y. Freund and R. Schapire. "A decision-theoretic generalization of on-line learning and an application to boosting", Journal of Computer & System Sciences, 1997.
6. L. K. Hansen and P. Salamon. "Neural network ensembles", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 10, pp.993-1001,1990.
7. J. Mao, "A case study on bagging, boosting and basic ensembles of neural networks for OCR," in Proc. IEEE Int. J. Conf. Neural Networks, vol.3, Anchorage, AK, 1998, pp.1828-1833.
8. J. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
9. J.R. Quinlan, "Comparing Connectionist and Symbolic Learning Methods", In Computational Learning Theory and Natural Learning, R. Rivest 1994, 445-456.
10. R. Setiono, "Extracting rules from pruned neural networks for breast cancer diagnosis," Artificial Intelligence in Medicine, vol.8, no.1, pp.37-51, 1996.
11. D. Sharkey, Ed. Combining Artificial Neural Nets: Ensemble and Modular Multi-net Systems. London: Springer-Verlag, 1999.
12. th Irish Conference on Artificial Intelligence &Cognitive Science,2000.
13. R. Wall, P. Cunningham and P. Walsh, "Explaining predictions form a neural network ensemble one at a time", Lecture Notes in Computer Science, 2000.
14. Z.H. Zhou and Y. Jiang, "Medical Diagnosis with C4.5 Rule Preceded by Artificial Neural Network Ensemble', IEEE Transactions on Information Technology in Biomedicine, 2002.