Patent ID: 7490071
Filing Date: 2009-02-10
Classification: G06F,G06K

Abstract:
1. A computerized method for support vector machine processing comprising: storing data; providing an interface to client software; building a support vector machine model on at least a portion of the stored data, based on a plurality of model-building parameters; estimating values for at least some of the model-building parameters; and applying the support vector machine model using the stored data to generate a data mining output; wherein the parameter estimation is performed by selecting a complexity parameter C method for a linear kernel method by: selecting a random sample comprising k pairs of training vectors of opposite class, one member of each pair being of positive class and one member of each pair being of negative class; for each pair, assigning C to have a value such that a margin for the positive class member of the pair is 1 and a margin for the negative class member of the pair is -1; ordering the assigned values of C; and selecting as C a k-th highest assigned value of C.