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A Method for Reduction of Examples in Relational Learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218624" target="_blank" >RIV/68407700:21230/14:00218624 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/article/10.1007%2Fs10844-013-0294-z#page-1" target="_blank" >http://link.springer.com/article/10.1007%2Fs10844-013-0294-z#page-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10844-013-0294-z" target="_blank" >10.1007/s10844-013-0294-z</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Method for Reduction of Examples in Relational Learning

  • Original language description

    We explore whether in relational learning, examples in the form of clauses can be reduced in size to speed up learning without a?ecting the learned hypothesis.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F11%2F2170" target="_blank" >GAP103/11/2170: Transferring ILP techniques to statistical relational learning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Intelligent Information Systems

  • ISSN

    0925-9902

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    27

  • Pages from-to

    255-281

  • UT code for WoS article

    000334270900005

  • EID of the result in the Scopus database