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Instability of Classifiers on Categorical Data
Houston, Texas November 27-November 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.81Fifth IEEE International Conference o ...
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Arno Siebes, Universiteit Utrecht
Muhammad Subianto, Universiteit Utrecht
Ad Feelders, Universiteit Utrecht
In this paper we study the local behaviour of arbitrary classifiers using the instability of that classifier in a data point. Moreover, we introduce two algorithms. The first to find highly unstable points, the second to find islands of stability.
Citation:
Arno Siebes, Muhammad Subianto, Ad Feelders, "Instability of Classifiers on Categorical Data," icdm, pp.769-772, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005
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