Information Technology Reference
In-Depth Information
26. Quinlan, J.R.: Programs for Machine Learning. Morgan Kaufmann Publishers, San
Francisco (1993)
27. Hinton, G.E.: Learning distributed representations of concepts. In: Proceedings of
8th Annual Conference of the Cognitive Science Society (1986)
28. Platt, J.: Fast Training of Support Vector Machines using Sequential Minimal
Optimization. In: Scholkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel
Methods - Support Vector Learning, pp. 185-208. MIT Press, Cambridge (1999)
29. Frank, E., Wang, Y., Inglis, S., Holmes, G., Witten, I.H.: Using model trees for
classification. Machine Learning 32(1), 63-76 (1998)
30. R.C.H.: Very simple classification rules perform well on most commonly used
datasets. Machine Learning 11, 63-91 (1993)
31. Mitchell, T.M.: Generalization as Search. Artificial Intelligence 18(2), 203-226
(1982)
32. Michalski, R., Mozetic, I., Hong, J., Lavrac, N.: The AQ15 Inductive Learning Sys-
tem: An Over View and Experiments, Reports of Machine Learning and Inference
Laboratory, No.MLI-86-6, George Mason University (1986)
33. Booker, L.B., Holland, J.H., Goldberg, D.E.: Classifier Systems and Genetic Algo-
rithms. Artificail Inteligence 40, 235-282 (1989)
34. Quinlan, J.R.: Induction of Decision Tree. Machine Learning 1, 81-106 (1986)
35. Frank, E., Witten, I.H.: Generating accurate rule sets without global optimization.
In: Proc. of the Fifteenth International Conference on Machine Learning, pp. 144-
151 (1998)
