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2004

A Simple Method For Estimating Conditional Probabilities For SVMs

9 years 22 days ago
A Simple Method For Estimating Conditional Probabilities For SVMs
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accurate classification results in a variety of applications. Several methods have been proposed to obtain not only a classification, but also an estimate of the SVMs confidence in the correctness of the predicted label. In this paper, several algorithms are compared which scale the SVM decision function to obtain an estimate of the conditional class probability. A new simple and fast method is derived from theoretical arguments and empirically compared to the existing approaches.
Stefan Rüping
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where LWA
Authors Stefan Rüping
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