Bootstrapping rule induction

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2003, Pages 677-680

  Waitman, Lemuel R ^a   Fisher, Douglas H ^a   King, Paul H ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33745199772     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Van Den Eijkel,G.C. 1999. Rule Induction. In Intelligent Data Analysis: An Introduction. Springer-Verlag, Berlin. pp. 195-216.
2. Forrest,J.B., Rehder,K., Cahalan,M.K., and Goldsmith, C.H. 1992. Multicenter Study of General Anesthesia III. Predictors of Severe Perioperative Adverse Outcomes. Anesthesiology 76: 3-15.
3. Riddle,P., Segal,R., and Etzioni,O. 1994. Representation Design and Brute-force Induction in a Boeing Manufacturing Domain. Applied Artificial Intelligence 8: 125-147.
4. Kubat,M., Holte,R.C., and Matwin,S. 1998. Machine learning for the detection of oil spills in satellite radar images. Machine Learning 30: 195-215. (Pubitemid 128631743)
5. Segal,R.B. Machine learning as massive search. 1997. University of Washington. Ref Type: Thesis/Dissertation
6. Good, I. J. The Estimation of Probabilities: An Essay on Modern Bayesian Methods. Research monograph 30. MIT Press, 1965.
7. Efron,B. and Tibshirani,R.J. 1993. An Introduction to the Bootstrap. Chapman and Hall, New York, NY.
8. Breiman,L. 1996. Bagging Predictors. Machine Learning 24: 123-140.
9. Segal,R. and Etzioni,O. 1994. Learning Decision Lists Using Homogeneous Rules. In AAAI-94.
10. Waitman, L. R., Fisher, D., & King, P. (2001) http://www.vuse. vanderbilt.edu/ dfisher/waitman2001.doc