Conference paper

 
Řezníček, I., Zemčík, P., Herout, A., Beran, V.: SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT, In: Proceedings of the IADIS Computer graphics, Visulisation, Coputer Vision and Image Processing 2010, Freiburg im Breissgau, DE, IADIS, 2010, p. 535-538, ISBN 978-972-8939-22-9
Publication language:english
Original title:SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT
Title (cs):Tvorba svm klasifikátorů v paralelních prostředí s omezeními
Pages:535-538
Proceedings:Proceedings of the IADIS Computer graphics, Visulisation, Coputer Vision and Image Processing 2010
Conference:IADIS Computer Graphics, Visualization, Computer Vision and Image Processing 2010
Place:Freiburg im Breissgau, DE
Year:2010
ISBN:978-972-8939-22-9
Publisher:IADIS
Keywords
Support Vector Machine, SVM, Sun Grid Engine, dataset, Feature vectors, Parametric training
Annotation
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.
Abstract
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.
BibTeX:
@INPROCEEDINGS{
   author = {Ivo Řezníček and Pavel Zemčík and Adam Herout and Vítězslav
	Beran},
   title = {SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT},
   pages = {535--538},
   booktitle = {Proceedings of the IADIS Computer graphics, Visulisation,
	Coputer Vision and Image Processing 2010},
   year = {2010},
   location = {Freiburg im Breissgau, DE},
   publisher = {IADIS},
   ISBN = {978-972-8939-22-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9273}
}