Ny tidsskriftsartikel: Clustering Categories in Support Vector Machines
03/03/2016
I Januar 2016 udarbejdede Økonomisk Institut professor Dolores Romero Morales og kolleger en tidskriftsartikel i Omega.Tidsskriftsartiklen - Clustering Categories in Support Vector Machines -omhandler følgende (på engelsk): The four strategies for building the CLSVM classifier are presented based on solving: the SVM formulation in the original feature space, a quadratically constrained quadratic programming formulation, and a mixed integer quadratic programming formulation as well as its continuous relaxation.
Du kan læse mere i tidsskriftsartiklen Clustering Categories in Support Vector Machines her.
Du kan læse mere i tidsskriftsartiklen Clustering Categories in Support Vector Machines her.
Sidst opdateret: Department of Economics // 08/10/2019