Aha, D. W. 1992. Generalizing from Case Studies: ACase Study. In Proceedings of the Ninth International Conference on Machine Learning, Aberdeen, Scotland. Morgan Kaufmann. 1--10. Home/Search Document Not in Database Summary Related Articles |
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Prototype and Feature Selection by Sampling and Random Mutation.. - Skalak (1994) (84 citations) (Correct)
....failures of these methods should be determined. One direction for future research would be to characterize the databases for which these very simple Monte Carlo or RMHC approaches will work. For research that attempts to characterize the qualities of different data sets, see [Quinlan, 1993; Aha, 1992; Rendell and Cho, 1990] We take some initial steps in this direction in the following section. 4 When will Monte Carlo sampling work It is clear that such naive sampling techniques will not always work, although their limits need to be determined experimentally and theoretically. One avenue ....
Aha, D. W. 1992. Generalizing from Case Studies: ACase Study. In Proceedings of the Ninth International Conference on Machine Learning, Aberdeen, Scotland. Morgan Kaufmann. 1--10.
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