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Abstract: Molecular profiling technologies monitor thousands of transcripts, proteins, metabolites or other species concurrently in biological samples of interest. Given two-class, high-dimensional profiling data, nominal Liknon [4] is a specific implementation of a methodology for performing simultaneous relevant feature identification and classification. It exploits the well-known property that minimising an l_1 norm (via linear programming) yields a sparse hyperplane [15, 26, 2, 8, 17]. This work (i)... (Update)
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BibTeX entry: (Update)
Grate, L., Bhattacharyya, C., Jordan, M., and Mian, I. Simultaneous relevant feature identification and classification in high-dimensional spaces. In Workshop on Algorithms in Bioinformatics (WABI 2002. http://citeseer.ist.psu.edu/grate02simultaneous.html More
@misc{ grate02simultaneous,
author = "L. Grate and C. Bhattacharyya and M. Jordan and I. Mian",
title = "Simultaneous relevant feature identification and classification in high-dimensional
spaces",
text = "Grate, L., Bhattacharyya, C., Jordan, M., and Mian, I. Simultaneous relevant
feature identification and classification in high-dimensional spaces. In
Workshop on Algorithms in Bioinformatics (WABI 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/grate02simultaneous.html" }
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