Lee Y. (1995) Learning a Robust Rule Set. Ph.D. Thesis. Department of Computer Science, University of Pittsburgh. Home/Search Document Not in Database Summary Related Articles Check |
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A Study of Complications in Real-world Machine Learning - Provost, Danyluk (1996) (1 citation) (Correct)
....For example, we eliminated from the data borderline cases and cases for which we could not determine the correct resolution. How will this affect our evaluation We believe that learning in the presence of possible systematic errors is a very interesting open problem (Weiss, 1995; Beers, 1957; Lee, 1995). Finally, the machine learning community has spent the last ten years comparing learning programs on suites of benchmark problems ad nauseam. However, almost all evaluations have been based on classification accuracy. The result being a host of available systems that can maximize accuracy within ....
Lee, Y. (1995). Learning a Robust Rule Set. Ph.D. Thesis. Department of Computer Science, University of Pittsburgh.
Problem Definition, Data Cleaning, and Evaluation: A Classifier.. - Provost (Correct)
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Lee Y. (1995) Learning a Robust Rule Set. Ph.D. Thesis. Department of Computer Science, University of Pittsburgh.
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