## SVM and Boosting: One Class

by
Gunnar Rätsch
,
Bernhard Schökopf
,
Sebastian Mika
,
Klaus-Robert Müller

Citations: | 6 - 1 self |

### BibTeX

@MISC{Rätsch_svmand,

author = {Gunnar Rätsch and Bernhard Schökopf and Sebastian Mika and Klaus-Robert Müller},

title = {SVM and Boosting: One Class},

year = {}

}

### Years of Citing Articles

### OpenURL

### Abstract

We show via an equivalence of mathematical programs that a Support Vector (SV) algorithm can be translated into an equivalent boosting-like algorithm and vice versa. We exemplify this translation procedure for a new algorithm one-class Leveraging starting from the one-class Support Vector Machines (1SVM) . This is a first step towards unsupervised learning in a Boosting framework.