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"
}