Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T. and Brunk, C.: 1994, Reducing misclassication costs, 11th International Conference of Machine Learning, pp. 217225. Home/Search Document Not in Database Summary Related Articles Check |
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An Evolutionary Algorithm for Cost-Sensitive - Decision Rule Learning (2001) (Correct)
....but not during the induction phase. In such case the pruning procedure has a limited capability to change the structure of the classi er obtained by the error based learning. Consequently, ignoring the misclassi cation cost at the rst phase is the main drawback of this approach. Pazzani et al. [17] introduced three cost sensitive algorithms for decision list induction. Their method was applied to a real telephone network troubleshooting problem. Ting [19] proposed a modi ed version of C4.5 using instance weighting for induction of cost sensitive decision trees. This approach requires the ....
Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T., Brunk, C.: Reducing misclassi cation costs. In Proc. of Int. Conf. on Machine Learning, ICML'94. Morgan Kaufmann (1994) 217-225.
Well-Trained PETs: Improving Probability Estimation Trees - Provost, Domingos (2000) (8 citations) (Correct)
....To our knowledge, the Laplace correction was introduced in machine learning by Niblett (1987) Clark and Boswell (1991) incorporated it into the CN2 rule learner, and its use is now widespread. For decision tree learning the Laplace correction has been used by certain researchers and practitioners (Pazzani et al. 1994; Bradford, Kunz, Kohavi, Brunk, Brodley, 1998; Provost et al. 1998; Bauer Kohavi, 1999; Danyluk Provost, 2000) but others still use frequency based estimates. To our knowledge, the most detailed treatment of the production of class probability estimates from decision trees is reported by ....
Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T., & Brunk, C. (1994). Reducing misclassication costs. In Proc. 11th International Conference on Machine Learning, pp. 217-225. Morgan Kaufmann.
Asymmetric Missing-Data Problems: Overcoming the Lack of.. - Aleksander Kocz And (2002) (Correct)
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Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T. and Brunk, C.: 1994, Reducing misclassication costs, 11th International Conference of Machine Learning, pp. 217225.
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