Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers - researchr publication

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Meir Glick, Jeremy L. Jenkins, James H. Nettles, Hamilton Hitchings, John W. Davies. Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers. Journal of Chemical Information and Computer Sciences, 46(1):193-200, 2006. [doi]

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