Building ultra-low false alarm rate Support Vector Classifier ensembles using Random Subspaces - researchr publication authors

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Barry Chen, Tracy D. Lemmond, William G. Hanley. Building ultra-low false alarm rate Support Vector Classifier ensembles using Random Subspaces. In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009 - April 2, 2009. pages 1-8, IEEE, 2009. [doi]

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