Provost, F., Jensen, D., & Oates, T. (1999). Optimal progressive sampling. In Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining. San Diego, CA: ACM Press. Home/Search Document Not in Database Summary Related Articles |
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E4 - Machine Learning - Domingos (Correct)
....structure. It would thus be useful to have methods, even if heuristic in nature, to estimate early on how much data will be needed. Examples of research in this direction are the fitting of power laws to learning curves (Frey Fisher, 1999) and statistical tests on the slope of these curves (Provost, Jensen, Oates, 1999). A complementary approach is to attempt to estimate the Bayes rate, i.e. the error rate at which even an infinite capacity learner will necessarily asymptote (Dasarathy, 1991; Cortes, 1995; Tumer Ghosh, 1996) and to stop learning once this level is reached. The numbers of examples, ....
Provost, F., Jensen, D., & Oates, T. (1999). Optimal progressive sampling. In Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining. San Diego, CA: ACM Press.
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