z-logo
open-access-imgOpen Access
Learning from data using support vector machines
Author(s) -
Srdjan S. Stanković,
Miloš Stanković,
Maja Stanković,
Milan Milosavljević
Publication year - 2003
Publication title -
facta universitatis - series electronics and energetics
Language(s) - English
Resource type - Journals
eISSN - 2217-5997
pISSN - 0353-3670
DOI - 10.2298/fuee0303305s
Subject(s) - computer science , support vector machine , point (geometry) , artificial intelligence , machine learning , mathematics , geometry
Learning from data is discussed from the point of view of support vector machines. A specific algorithm solving the polychotomy problem is described. The methodology is illustrated on two complex examples taken from practice.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom