Vapnik V. (1995) "The Nature of Statistical Learning Theory. Springer-Verlag," New York. Home/Search Document Not in Database Summary Related Articles Check |
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Support Vector Machines for Active Learning in the .. - Warmuth, Liao.. (2003) (1 citation) (Correct)
....iterations. 4 Several machine learning methods have been applied to the drug discovery process to derive a model for activity. Discussing all of them is beyond the scope of this paper. Our main selection strategy is based on the maximum margin hyperplane generated by Support Vector Machines (SVMs [6, 7, 8, 9]; see also http: www.kernel machines.org) SVMs have a number of advantages over classical methods, such as stability, simple geometric interpretation, use of kernels for non linear decisions; and have received much attention in a variety of application fields (for an overview see [10] SVMs ....
V.N. Vapnik, The nature of statistical learning theory; Springer Verlag, New York, 1995.
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Vapnik V. (1995) "The Nature of Statistical Learning Theory. Springer-Verlag," New York.
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