A PSO-based document classification algorithm accelerated by the CUDA Platform

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86085008" target="_blank" >RIV/61989100:27240/12:86085008 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/12:86085008

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICSMC.2012.6378021" target="_blank" >http://dx.doi.org/10.1109/ICSMC.2012.6378021</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICSMC.2012.6378021" target="_blank" >10.1109/ICSMC.2012.6378021</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A PSO-based document classification algorithm accelerated by the CUDA Platform

Popis výsledku v původním jazyce

Document classification is a well-known problem that is focused on assigning predefined labels or categories to the documents found in the searched collection. Many classical algorithms were developed for solving of this problem. They usually have largetime complexity and with increasing number of documents it is necessary to find algorithm which are able to find solution in reasonable time. Such algorithms are usually inspired by biological processes. Even such meta-heuristics algorithms become too slow when the number of documents is really large and it is necessary to optimize them for faster processing. This paper describes a document classification algorithm based on Particle Swarm Optimization with implementation of one and two GPUs. 2012 IEEE.

Název v anglickém jazyce

A PSO-based document classification algorithm accelerated by the CUDA Platform

Popis výsledku anglicky

Document classification is a well-known problem that is focused on assigning predefined labels or categories to the documents found in the searched collection. Many classical algorithms were developed for solving of this problem. They usually have largetime complexity and with increasing number of documents it is necessary to find algorithm which are able to find solution in reasonable time. Such algorithms are usually inspired by biological processes. Even such meta-heuristics algorithms become too slow when the number of documents is really large and it is necessary to optimize them for faster processing. This paper describes a document classification algorithm based on Particle Swarm Optimization with implementation of one and two GPUs. 2012 IEEE.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2012

ISBN

978-1-4673-1714-6

ISSN

1062-922X

e-ISSN

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Počet stran výsledku

6

Strana od-do

1936-1941

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Soul

Datum konání akce

14. 10. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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