Aggregation approach to the classification problem using multiple prediction experts

Information Processing and Management

Volumn 36, Issue 4, 2000, Pages 683-696

  Major, Raymond L ^a   Ragsdale, Cliff T ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; EXPERT SYSTEMS; INFORMATION ANALYSIS; INTERNET;

DISCRIMINANT ANALYSIS; DISTRIBUTED EXPERT SYSTEMS;

MANAGEMENT INFORMATION SYSTEMS;

EID: 0033907438     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(99)00069-2     Document Type: Article

References (30)

1. Bapat S. Object-oriented networks: Models for architecture, operations, and management. 1994;Prentice Hall, New Jersey.
2. Bhargava H., Krishnan R. The World Wide Web: Opportunities for operations research and management science. INFORMS Journal on Computing. 10:(4):1998;359-383.
3. Bhattacharyya S., Pendharkar P. Inductive, evolutionary, and neural computing techniques for discrimination: A comparative study. Decision Sciences. 29:(4):1998;871-899.
4. Breiman L., Friedman J., Olshen R., Stone C. Classification and regression trees. 1984;Wadsworth, Inc, Belmont, CA.
5. Breiman L. Technical note: some properties of splitting criteria. Machine Learning. 24:(1):1996;41-47.
6. Bond A., Gasser L. Readings in distributed artificial intelligence. 1988;Morgan Kaufmann Publishers, San Mateo, CA.
7. Burke L. Introduction to artificial neural systems for pattern recognition. Computers and Operations Research. 18:(2):1991;211-220.
8. Cesa-Bianchi N., Freund Y., Helmbold D., Warmuth M. On-line prediction and conversion strategies. Machine Learning. 25:(1):1996;71-110.
9. DeSanctis G., Gallupe R.B. A foundation for the study of group decision support systems. Management Science. 5:1987;497-509.
10. Ferland J., Hertz A., Lavoie A. An object-oriented methodology for solving assignment-type problems with neighborhood search techniques. Operations Research. 44:(2):1996;347-359.
11. Hansen J.V., McDonald J.B., Messier W.F., Bell T.B. A generalized qualitative-response model and the analysis of management fraud. Management Science. 42:(7):1996;1022-1032.
12. Huhns M.N. Distributed artificial intelligence. 1987;Pitman, London.
13. Kraemer K.L., King J.L. Computer-based systems for cooperative work and group decision making. ACM Computer Survey. 20:1988;329-380.
14. Leahy K. The overfitting problem in perspective. AI Expert. October:1994;35-36.
15. Markham I., Ragsdale C. Combining neural networks and statistical predictions to solve the classification problem in discriminant analysis. Decision Sciences. 26:(2):1995;229-242.
16. Mitchell T.M. Generalization as search. Artificial Intelligence. 18:1982;203-226.
17. Morrison D.F. Multivariate statistical methods. 1990;McGraw-Hill, New York.
18. Myung I.J., Ramamoorti S., Bailey A.D. Jr. Maximum entropy aggregation of expert predictions. Management Science. 42:(10):1996;1420-1436.
19. Neri F., Saitta L. Exploring the power of genetic search in learning symbolic classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 18:(11):1996;1135-1141.
20. Nunamaker J., Applegate L., Konsynski B. Computer-aided deliberation: Model management and group decision support. Operations Res. 6:1988;826-848.
21. Ozden M. Intelligent objects in simulation. ORSA Journal on Computing. 6:(4):1994;329-341.
22. Pindyck R.S., Rubinfeld D.L. Econometric models and economic forecasts. 1981;McGraw-Hill, New York.
23. Quinlan J.R. Induction of decision trees. Machine Learning. 1:1986;81-106.
24. Quinlan J.R. Decision trees and decisionmaking. IEEE Transactions on Systems, Man, and Cybernetics. 20:1990;339-346.
25. Quinlan J.R. C4.5: Programs for machine learning. 1993;Morgan Kaufmann Inc, San Mateo, CA.
26. Sharda R. Neural networks for the MS/OR analyst: An application bibliography. Interfaces. 24:(2):1994;116-130.
27. Sikora R., Shaw M.J. A computational study of distributed rule learning. Information Systems Research. 7:(2):1996;189-197.
28. Tam K.Y., Kiang M.Y. Managerial applications of neural networks: the case of bank failure prediction. Management Science. 38:(7):1992;926-947.
29. Wang S. A self-organizing approach to managerial nonlinear discriminant analysis: A hybrid method of linear discriminant analysis and neural networks. INFORMS Journal on Computing. 8:(2):1996;118-124.
30. Wasserman P. Neural computing theory and practice. 1989;Van Nostrand Reinhold, New York.