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Binarnaja faktorizacija s pomoščju seti chopfilda i ee priloženije k avtomatičeskoj klassifikacii tekstov
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SYSNO ASEP 0329726 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Binarnaja faktorizacija s pomoščju seti chopfilda i ee priloženije k avtomatičeskoj klassifikacii tekstov Title Binary Factorization using Hopfield Network and its Application to Automatic Text ClassificationBinární faktorizace s pomocí Hopfieldovy neuronové sítě a její aplikace na klasifikaci textů Author(s) Polyakov, P.Y. (RU)
Frolov, A. A. (RU)
Húsek, Dušan (UIVT-O) RID, SAI, ORCIDSource Title Nejroinformatika 2006, 3. - Moskva : MIFI, 2006 - ISBN 5-7262-0634-7 Pages s. 172-180 Number of pages 9 s. Action Nejroinformatika 2006 Event date 24.01.2006-27.01.2006 VEvent location Moskva Country RU - Russian Federation Event type WRD Language rus - Russian Country RU - Russian Federation Keywords neural etworks ; Boolean matrix factorization ; data mining ; automatic text annotation ; text categorization Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1ET100300419 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation Predložen metod binarnoj faktorizacii na osnove seti Chopfilda. Metod primenen dlja avtomatičeskoj klassifikacii statej konferencij po Nejroinformatike 2004 i 2005. Pokazana vysokaja effektivnosť metoda. Description in English In the paper, Hopfield neural network based method of Boolean factor analysis is suggested. Method is applied to automatic classification of Neuroinformatics 2004-2005 conferences submissions. The high efficiency of proposed method is shown on this hard problem solving. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2010
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