Resource title

A Simple Method For Estimating Conditional Probabilities For SVMs

Resource image

image for OpenScout resource :: A Simple Method For Estimating Conditional Probabilities For SVMs

Resource description

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.

Resource author

Stefan RĂ¼ping

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22569

Resource license

Adapt according to the presented license agreement and reference the original author.