An introduction interval kernel-Based methods applied on Support Vector Machines
Adriana Takahashi, Adrião Duarte Dória Neto, Benjamín Bedregal · 2012
In this work we propose a generalized real interval kernel method applied on Support Vector Machines. Since the real interval kernel method is constructed from the real kernel method, it is reasonable to extend it to intervals on any domain which has some algebraic structure. This extension is applied on Support Vector Machines classification of interval data.