SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89575" target="_blank" >RIV/00216305:26230/10:PU89575 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT
Original language description
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 learningprocess 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 environmentwhich has certain constraints regarding the resources available to the training task and duration of it. The framework is introduced and conclusions are drawn.
Czech name
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Czech description
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Project
<a href="/en/project/LC06008" target="_blank" >LC06008: Center of Computer Graphics</a>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP) Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the IADIS Computer graphics, Visulisation, Coputer Vision and Image Processing 2010
ISBN
978-972-8939-22-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IADIS
Place of publication
Freiburg im Breissgau
Event location
Freiburg, Germany
Event date
Jul 27, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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