Lipschitz Classifiers Ensembles: Usage For Classification Of Target Events In C-Otdr Monitoring Systems

Andrey V. Timofeev
This paper introduces an original method for
guaranteed estimation of the accuracy for an ensemble of Lipschitz
classifiers. The solution was obtained as a finite closed set of
alternative hypotheses, which contains an object of classification with
probability of not less than the specified value. Thus, the
classification is represented by a set of hypothetical classes. In this
case, the smaller the cardinality of the discrete set of hypothetical
classes is, the higher is the...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.