C. Apte, R. Sasisekharan, V. Seshadri, S.M. Weiss  Home/Search
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Abstract: We consider the application of several compute-intensive classification techniques to two significant real-world applications: disk drive manufacturing qualitycontrol and the detection of chronic problems in large scale communication networks. These applications are characterized byvery high dimensions, with hundreds of features or tens of thousands of cases. The results of several learning techniques are compared, including linear discriminants, nearest neighbor methods, decision rules, ... (Update)
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BibTeX entry: (Update)
@misc{ apte-case,
author = "C. Apte and R. Sasisekharan and V. Seshadri and S.M. Weiss",
title = "Case Studies in High-Dimensional Classification",
url = "citeseer.ist.psu.edu/apte94case.html" }
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