Application of Neural Network Boolean Factor Analysis Procedure to Automatic Conference Papers Categorization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F08%3A00390803" target="_blank" >RIV/67985807:_____/08:00390803 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Application of Neural Network Boolean Factor Analysis Procedure to Automatic Conference Papers Categorization
Original language description
The neural network algorithm is proposed for automatic unsupervised words categorization using purely statistic information derived from textual data. The method is an extension of the of Boolean factor analysis algorithm (A. Frolov at al., Boolean factor analysis by attractor neural network", IEEE Trans. on Neural Networks, 18, (3), 2007). We apply the method to two types of textual data on Neural Networks. The first data set consists of the papers published in the proceedings of the IJCNN 2003 and 2004 conferences, the second - consists of the papers published in the proceedings of Russian conference on ?NEUROINFORMATICS 2004 and 2005.
Czech name
—
Czech description
—

Project
<a href="/en/project/1ET100300414" target="_blank" >1ET100300414: Intelligent methods for incresing of reliability of electrical networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Bulletin of the International Statistical Institute
ISBN
978-972-673-992-0
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
3739-3742
Publisher name
Instituto Nacional de Estatística
Place of publication
Lisabon
Event location
Lisboa
Event date
Aug 22, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)