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Generalized Version of the Support Vector Machine for Binary Classification Problems: Supporting Hyperplane Machine by Abramov, E. G.; Komissarov, A. B.; Kornyakov, D. A. is a scholarly article available to read on EtoBox.

What is Generalized Version of the Support Vector Machine for Binary Classification Problems: Supporting Hyperplane Machine about?

In this paper there is proposed a generalized version of the SVM for binary classification problems in the case of using an arbitrary transformation x -> y. An approach similar to the classic SVM method is used. The problem is widely explained. Various formulations of primal and dual problems are proposed. For one of the most important cases the formulae are derived in detail. A simple computational example is demonstrated. The algorithm and its implementation is presented in Octave language.

Author

Abramov, E. G.; Komissarov, A. B.; Kornyakov, D. A.

Published

2014

Language

EN