Evolving hypernetworks for pattern classification

2007 IEEE Congress on Evolutionary Computation, CEC 2007

Volumn , Issue , 2007, Pages 1856-1862

  Kim, Joo Kyung ^a   Zhang, Byoung Tak ^a  

^a Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; HYPEREDGES; HYPERNETWORKS;

DATA STRUCTURES; EVOLUTIONARY ALGORITHMS; LEARNING SYSTEMS; LOGIC PROGRAMMING;

PATTERN RECOGNITION;

EID: 67649623086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424699     Document Type: Conference Paper

References (14)

1. D. J. C. MacKay, Information Theory, Inference, and Learning Algorithms, Cambridge Univeristy Press, 2003.
2. B.-T. Zhang and J.-K. Kim, "DNA hypernetworks for information storage and retrieval," Lecture Notes in Computer Science, DNA12, vol. 4287, pp. 298-307, 2006.
3. B.-T. Zhang and H.-Y. Jang, "A Bayesian algorithm for in vitro molecular evolution of pattern classifiers," Lecture Notes in Computer Science, DNA10, vol. 3384, pp. 458-467, 2005.
4. C. Berge, Graphs and Hypergraphs, American Elsevier, 1976.
5. R. Agrawal and R. Strikant, "Fast algorithms for mining association rules in large databases," Proc. 20th Int. Conf. on Very Large Databases, pp. 487-499, Santiago, Chile, 1994.
6. E.-H. Han, G. Karypis, V. Kumar, and B. Mobasher, "Clustering based on association rule hypergraphs," Research Issues on Data Mining and Knowledge Discovery, 1997.
7. B.-T. Zhang and H.-Y. Jang, "Molecular programming: evolving genetic programs in a test tube," Proc. 2005 Genetic and Evolutionary Computation Conference, vol. 2, pp. 1761-1768, 2005.
8. S. Kim, M.-O. Heo, and B.-T. Zhang, "Text classifiers evolved on a simulated DNA computer," Proc. 2006 IEEE Congress on Evolutionary Computation, pp. 9196-9202, 2006.
9. R. Caruana and A. Niculescu-Mizil, "An empirical comparision of supervised learning algorithms," Proc. 23th International Conference on Machine Learning, pp. 161-168, 2006.
10. L. Kurgan and K. J. Cios, "Ensemble of Classifiers to Improve Accuracy of the CLIP4 Machine Learning Algorithm," SPIEs International Symposium on Sensor Fusion: Architectures, Algorithms, and Applications VI, Orlando, FL, U.S.A, 2002.
11. T. K. Ho, "The random subspace method for constructing decision forests," IEEE Transactions on Patten Analysis and Machine Intelligence, vol. 20, no. 8, Aug 1998.
12. L. S. Oliveira, N. Benahmed, R. Sabourin, F. Bortolozzi, and C. Y. Suen, "Feature subset selection using genetic algorithms for handwritten digit recognition," Proc. 14th Brazilian Symposium on Computer Graphics and Image Processing, pp. 362-369, 2006.
13. B.T. Zhang, P. Ohm, and H. Muhlenbein, "Evolutionary induction of sparse neural trees," Evolutionary Computation, vol. 5, no. 2, 213-236, 1997.
14. C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.