Kushmerick, N., D. S. Weld, and R. Doorenbos. 1997. Wrapper induction for
information extraction. In Proceedings of the Fifteenth International Joint
Conference on Artificial Intelligence, Nagoya, Japan. San Francisco: Morgan
Kaufmann, pp. 729–735.
Landwehr, N., M. Hall, and E. Frank. 2003. Logistic model trees. In N. Lavrac, D.
Gamberger, L. Todorovski, and H. Blockeel, editors,Proceedings of the Four-
teenth European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia.
Berlin: Springer-Verlag. pp. 241–252.
Langley, P. 1996.Elements of machine learning.San Francisco: Morgan Kaufmann.
Langley, P., and S. Sage. 1994. Induction of selective Bayesian classifiers. In R. L.
de Mantaras and D. Poole, editors,Proceedings of the Tenth Conference on
Uncertainty in Artificial Intelligence, Seattle, WA. San Francisco: Morgan
Kaufmann, pp. 399–406.
Langley, P., and H. A. Simon. 1995. Applications of machine learning and rule
induction.Communications of the ACM38(11):55–64.
Langley, P., W. Iba, and K. Thompson. 1992. An analysis of Bayesian classifiers. In
W. Swartout, editor,Proceedings of the Tenth National Conference on Artificial
Intelligence, San Jose, CA. Menlo Park, CA: AAAI Press, pp. 223–228.
Lawson, C. L., and R. J. Hanson. 1995.Solving least-squares problems.Philadelphia:
SIAM Publications.
le Cessie, S., and J. C. van Houwelingen. 1992. Ridge estimators in logistic regres-
sion.Applied Statistics41(1):191–201.
Li, M., and P. M. B. Vitanyi. 1992. Inductive reasoning and Kolmogorov complex-
ity.Journal Computer and System Sciences44:343–384.
Lieberman, H., editor. 2001.Your wish is my command: Programming by example.
San Francisco: Morgan Kaufmann.
Littlestone, N. 1988. Learning quickly when irrelevant attributes abound: A new
linear-threshold algorithm.Machine Learning2(4):285–318.
———. 1989.Mistake bounds and logarithmic linear-threshold learning algorithms.
PhD Dissertation, University of California, Santa Cruz, CA.
Liu, H., and R. Setiono. 1996. A probabilistic approach to feature selection: A filter
solution. In L. Saitta, editor, Proceedings of the Thirteenth International
Conference on Machine Learning, Bari, Italy. San Francisco: Morgan
Kaufmann, pp. 319–327.
———. 1997. Feature selection via discretization.IEEE Transactions on Knowledge
and Data Engineering9(4):642–645.
REFERENCES 497
P088407-REF.qxd 4/30/05 11:24 AM Page 497