Comparing "pattern discovery" and back-propagation classifiers

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2005, Pages 1286-1291

  Hamilton Wright, Andrew ^a   Stashuk, Daniel W ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; DECISION SUPPORT SYSTEMS; NEURAL NETWORKS; OPTIMAL SYSTEMS; PATTERN RECOGNITION; PROBLEM SOLVING; STATISTICAL METHODS;

CONTINUOUS-VALUED DATA; MINIMUM INTER-CLASS DISTANCE (MICD); PATTERN DISCOVERY (PD); SEPARABLE CLASS DISTRIBUTIONS;

CLASSIFIERS;

EID: 33745963766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556039     Document Type: Conference Paper

References (9)

1. Y. Wang, "High order pattern discovery and analysis of discrete-valued data sets," Ph.D. dissertation. University of Waterloo, Systems Design Engineering, 1997.
2. A. K. C. Wong and Y. Wang, "High-order pattern discovery from discrete-valued data," IEEE Trans. Knowledge Data Eng., vol. 9, no. 6, pp. 877-893, Nov-Dec 1997.
3. _, "Pattern discovery: A data driven approach to decision support," IEEE Trans. Syst., Man. Cybern. C, vol. 33, no. 1, pp. 114-124, Feb 2003.
4. Y. Wang and A. K. C. Wong, "From association to classification: Inference using weight of evidence." IEEE Trans. Knowledge Data Eng., vol. 15, no. 3, pp. 764-767, May-June 2003.
5. M. L. Minsky and S. A. Papert, Perceptrons : An Introduction to Computational Geometry, 2nd ed. MIT Press. 1988.
6. P. K. Simpson, Artificial Neural Systems. Windcrest/McGraw-Hill, 1991, pp. 112-120.
7. J. Hertz, A. Krogh, and R. G. Palmer, Introduction to the Theory of Neural Computation. Santa Fe Institute Studies in the Sciences of Complexity, 1991, pp. 115-120.
8. S. J. Haberman, "The analysis of residuals in cross-classified tables," Biometrics, vol. 29, no. 1, pp. 205-220. Mar 1973.
9. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. John Wiley and Sons, 2001.