Detail publikace
SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT
ŘEZNÍČEK, I. ZEMČÍK, P. HEROUT, A. BERAN, V.
Originální název
SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Support Vector Machines (SVM) classification is one of the most frequently used classification methods based on
machine learning used today. SVMs, however, are dependent on many parameters and settings and so it is suitable to
perform the learning process in many instances and evaluate what parameters and settings are suitable for each individual
case of data and task. This paper focuses on a novel framework that allows parametric training of SVM classifiers in
parallel computer environment which has certain constraints regarding the resources available to the training task and
duration of it. The framework is introduced and conclusions are drawn.
Klíčová slova
Support Vector Machine, SVM, Sun Grid Engine, dataset, Feature vectors, Parametric training
Autoři
ŘEZNÍČEK, I.; ZEMČÍK, P.; HEROUT, A.; BERAN, V.
Rok RIV
2010
Vydáno
1. 12. 2010
Nakladatel
IADIS
Místo
Freiburg im Breissgau
ISBN
978-972-8939-22-9
Kniha
Proc. of the IADIS Int. Conf. - Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2010, Visual Commun., VC 2010, Web3DW 2010, Part of the MCCSIS 2010
Strany od
535
Strany do
538
Strany počet
4
BibTex
@inproceedings{BUT34829,
author="Ivo {Řezníček} and Pavel {Zemčík} and Adam {Herout} and Vítězslav {Beran}",
title="SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT",
booktitle="Proc. of the IADIS Int. Conf. - Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2010, Visual Commun., VC 2010, Web3DW 2010, Part of the MCCSIS 2010",
year="2010",
pages="535--538",
publisher="IADIS",
address="Freiburg im Breissgau",
isbn="978-972-8939-22-9"
}