References
- Charnes, A., W.W. Cooper, and E. Rhodes. “Measuring the Efficiency of Decision Making Units,” European Journal of Operational Research, 2, 1978.
- Clark, P. and T. Niblett. “Induction in Noisy Domains.” In Progress in Machine Learning (from the Proceedings of the 2nd European Working Session on Learning), Bled, Yugoslavia: Sigma, 1987, pp. 11–30.
- Elmore, J., M. Wells, M. Carol, H. Lee, D. Howard, and A. Feinstein. “Variability in Radiologists' Interpretation of Memograms,” New England Journal of Medicine, 331:22, 1994, pp. 1493–1499.
- Friedman, N., D. Geiger, and M. Goldszmidt. “Bayesian Network Classifiers,” Machine Learning, 29, 1997, pp. 131–163.
- Heckerman, D. “Bayesian Networks for Knowledge Discovery.” In Fayyad, U.M., Piatetsky-Shapiro, G., P. Smyth, and R. Uthurusamy (Eds.). Advances in Knowledge Discovery and Data Mining. Menlo Park, CA: AAAI, 1996.
- Kovalerchuck, B., E. Triantaphyllou, J.F. Ruiz, J. Clayton. “Fuzzy Logic in Computer-Aided Breast Cancer Diagnosis: Analysis of Lobulation,” Artificial Intelligence in Medicine, 11, 1997, pp. 75–85.
- Michalski, R.S., I. Mozetic, J. Hong, and N. Lavrac. “The Multi-purpose Incremental Learning System AQ15 and its Testing Application to Three Medical Domains.” In Proceedings of the Fifth National Conference on Artificial Intelligence. Philadelphia: Morgan Kaufmanns, 1986, pp. 1041–1045.
- Pass, S. “Discovering Value in a Mountain of Data,” OR/MS Today, 1997, pp. 24–28.
- Pendharkar, P.C. and S. Kumar. “D Data Envelopment Analysis Application for Marginal Cost Assignment in Certain Case Based Expert Systems,” Proceedings of 3rd INFORMS Conference on Information Systems & Technology. Montreal, 1998, pp. 347–358.
- Troutt, M.D., A. Rai, and A. Zhang. “The Potential Use of DEA for Credit Applicant Acceptance Systems,” Computers & Operations Research, 4, 1995, pp. 405–408.
- Wingo, P.A., T. Tong, and S. Bolden. “Cancer Statistics,” Ca-A Cancer Journal for Clinicians, 45:1, 1995, pp. 8–30.