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Classification with Extreme Learning Machine on GPU

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096068" target="_blank" >RIV/61989100:27240/15:86096068 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/15:86096068

  • Result on the web

    <a href="http://dx.doi.org/10.1109/INCoS.2015.30" target="_blank" >http://dx.doi.org/10.1109/INCoS.2015.30</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/INCoS.2015.30" target="_blank" >10.1109/INCoS.2015.30</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification with Extreme Learning Machine on GPU

  • Original language description

    The general classification is a machine learning task that tries to assign the best class to a given unknown input vector based on past observations (training data). Most of developed algorithms are very time consuming for large datasets (Support VectorMachine, Deep Neural Networks, etc.). Extreme Learning Machine (ELM) is a high quality classification algorithm that gains much popularity in recent years. This paper shows that the speed of learning of this algorithm may be improved by using GPU platform. Experimental results showed that proposed approach is much faster and provides the same accuracy as the original ELM algorithm. The proposed approach runs completely on GPU platform and thus it may be effectively incorporated within other applications.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

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

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Intelligent Networking and Collaborative Systems INCoS-2015 : 7th International Conference : proceedings : September 2-4, 2015, Taipei, Tchaj-wan

  • ISBN

    978-1-4673-7694-5

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    116-122

  • Publisher name

    IEEE

  • Place of publication

    Danvers

  • Event location

    Taipei

  • Event date

    Sep 2, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article