Bouckaert, R. R. 2004. Bayesian network classifiers in Weka. Working Paper 14/2004,
Department of Computer Science, University of Waikato, New Zealand.
Brachman, R. J., and H. J. Levesque, editors. 1985.Readings in knowledge represen-
tation.San Francisco: Morgan Kaufmann.
Brefeld, U., and T. Scheffer. 2004. Co-EM support vector learning. In R. Greiner
and D. Schuurmans, editors,Proceedings of the Twenty-First International
Conference on Machine Learning, Banff, Alberta, Canada. New York: ACM, pp.
121–128.
Breiman, L. 1996a. Stacked regression.Machine Learning24(1):49–64.
———. 1996b. Bagging predictors.Machine Learning24(2):123–140.
———. 1999. Pasting small votes for classification in large databases and online.
Machine Learning36(1–2):85–103.
———. 2001. Random forests.Machine Learning45(1):5–32.
Breiman, L., J. H. Friedman, R. A. Olshen, and C. J. Stone. 1984.Classification and
regression trees.Monterey, CA: Wadsworth.
Brin, S., R. Motwani, J. D. Ullman, and S. Tsur. 1997. Dynamic itemset counting
and implication rules for market basket data. ACM SIGMOD Record
26(2):255–264.
Brodley, C. E., and M. A. Friedl. 1996. Identifying and eliminating mislabeled train-
ing instances. In Proceedings of the Thirteenth National Conference on
Artificial Intelligence, Portland, OR. Menlo Park, CA: AAAI Press, pp. 799–805.Brownstown, L., R. Farrell, E. Kant, and N. Martin. 1985.Programming expert
systems in OPS5.Reading, MA: Addison-Wesley.
Buntine, W. 1992. Learning classification trees.Statistics and Computing2(2):63–73.
Burges, C. J. C. 1998. A tutorial on support vector machines for pattern recogni-
tion.Data Mining and Knowledge Discovery2(2): 121–167.
Cabena, P., P. Hadjinian, R. Stadler, J. Verhees, and A. Zanasi. 1998.Discovering data
mining: From concept to implementation.Upper Saddle River, NJ: Prentice
Hall.
Califf, M. E., and R. J. Mooney. 1999. Relational learning of pattern-match rules for
information extraction. In Proceedings of the Sixteenth National Conference on
Artificial Intelligence,Orlando, FL. Menlo Park, AC: AAAI Press, pp. 328–334.
Cardie, C. 1993. Using decision trees to improve case-based learning. In P. Utgoff,
editor,Proceedings of the Tenth International Conference on Machine Learning,
Amherst, MA. San Francisco: Morgan Kaufmann, pp. 25–32.REFERENCES 487
P088407-REF.qxd 4/30/05 11:24 AM Page 487