Software Download

Software developed by the members of the CLRC available for download/online use:

Support Vector Machine

Confidence Machine

News

A new technique for "hedging" predictions was presented and discussed recently by Alexander Gammerman and Vladimir Vovk at a special meeting of the British Computer Society. The method can be applied to many algorithms, including Support Vector Machines, Kernel Ridge Regression, Kernel Nearest Neighbours and other state-of-the-art methods.

The hedged predictions include confidence measures that are provably valid and it becomes possible to control the number of errors by selecting a suitable confidence level.

The discussants of the technique included Vladimir Vapnik, Alexey Chervonenkis, Glenn Shafer, Zhiyuan Luo and many others.

The paper and the discussion can be found here.