Search results
- 1.0532915 - ARÚ 2021 CZ eng A - Abstract
Pajdla, P. - Danielisová, Alžběta - Bursák, Daniel - Strnad, L. - Trubač, J.
Difficulties tracing and interpreting patterns in compositional data of metal artefacts. Why are the more complex methods not always useful?
26th EAA Virtual Annual Meeting. Abstract book. Prague: European Association of Archaeologists, 2020 - (Kleinová, K.). s. 469. ISBN 978-80-907270-7-6.
[Virtual Annual Meeting of the European Association of Archaeologists /26./. 24.08.2020-30.08.2020, online]
R&D Projects: GA ČR(CZ) GA18-20096S
Institutional support: RVO:67985912
Keywords : chemical composition * lead isotopes * provenance analysis * unsupervised learning * Iron Age
OECD category: Archaeology
https://submissions.e-a-a.org/eaa2020/repository/preview.php?Abstract=3519
Permanent Link: http://hdl.handle.net/11104/0311290 - 2.0484893 - ÚI 2018 US eng J - Journal Article
Vavrečka, Michal - Farkaš, I.
A Multimodal Connectionist Architecture for Unsupervised Grounding of Spatial Language.
Cognitive Computation. Roč. 6, č. 1 (2014), s. 101-112. ISSN 1866-9956. E-ISSN 1866-9964
Keywords : Multimodal representations * Self-organizing map * Spatial phrases * Symbol grounding * Unsupervised learning
Impact factor: 1.440, year: 2014
Permanent Link: http://hdl.handle.net/11104/0280016 - 3.0405597 - UIVT-O 330977 RIV CZ eng J - Journal Article
Goltsev, A. - Húsek, Dušan - Frolov, A.
Assembly Neural Network with Nearest-Neighbor Recognition Algorithm.
[Skládané neuronové sítě s rozpoznávacím algoritmem nejbližšího souseda.]
Neural Network World. Roč. 15, - (2005), s. 9-22. ISSN 1210-0552
R&D Projects: GA MŠMT 1M0567
Grant - others:RFBR(RU) 02-01-00457
Keywords : assembly neural network * unsupervised learning * binary Hebbian rule * pattern recognition * texture segmentation * classification
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0003470File Download Size Commentary Version Access 0405597.pdf 4 461.9 KB Publisher’s postprint open-access - 4.0405239 - UIVT-O 330433 CZ cze A - Abstract
Burian, Jan
Identifikace třídícího atributu při učení bez učitele na základě závislostí atributů.
[Unsupervised Learning and the Identification of Classification Attribute using the Attribute Dependency.]
Znalosti 2004. Sborník posterů. Ostrava: FEI VŠB, 2004 - (Snášel, V.). s. 1-4. ISBN 80-248-0456-5.
[Znalosti 2004 /3./. 22.02.2004-25.02.2004, Brno]
Keywords : unsupervised learning * associations of atributes * classification of records
Permanent Link: http://hdl.handle.net/11104/0125425 - 5.0405186 - UIVT-O 330317 RIV CZ eng J - Journal Article
Frolov, A. A. - Sirota, A.M. - Húsek, Dušan - Muraviev, I. P.
Binary Factorization in Hopfield-Like Neural Networks: Single-Step Approximation and Computer Simulations.
[Binární faktorová analýza pomocí Hopfieldovy neuronové sítě: Jednokroková aproximace a počítačová simulace.]
Neural Network World. Roč. 14, č. 2 (2004), s. 139-152. ISSN 1210-0552
R&D Projects: GA ČR GA201/01/1192
Grant - others:BARRANDE(EU) 99010-2/99053; Intellectual computer Systems(EU) Grant 2.45
Institutional research plan: CEZ:AV0Z1030915
Keywords : nonlinear binary factor analysis * feature extraction * recurrent neural network * Single-Step approximation * neurodynamics simulation * attraction basins * Hebbian learning * unsupervised learning * neuroscience * brain function modeling
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0003466 - 6.0390803 - ÚI 2013 RIV PT eng C - Conference Paper (international conference)
Húsek, Dušan - Frolov, A. A. - Polyakov, P.Y. - Řezanková, H. - Snášel, V.
Application of Neural Network Boolean Factor Analysis Procedure to Automatic Conference Papers Categorization.
Bulletin of the International Statistical Institute. Lisabon: Instituto Nacional de Estatística, 2008 - (Gomes, M.; Pinto Martins, J.; Silva, J.), s. 3739-3742. ISBN 978-972-673-992-0.
[ISI 2007. Session of the International Statistical Institute /56./. Lisboa (PT), 22.08.2007-29.08.2007]
R&D Projects: GA AV ČR 1ET100300414
Grant - others:RFBR(RU) 05-07-90049
Institutional research plan: CEZ:AV0Z10300504
Keywords : Boolean factor analysis * document classification * automatic concepts search * unsupervised learning * neural network
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0219634File Download Size Commentary Version Access 0390803.pdf 2 600.5 KB Author´s preprint open-access - 7.0360031 - ÚI 2012 RIV RU rus J - Journal Article
Frolov, A. A. - Húsek, Dušan - Polyakov, P.Y.
Bulevskij faktornyj analiz na osnove attraktornoj nejronnoj seti i nekotoryje ego priloženija.
[Bulev factorial analysis by means of attractor neural network and its some appendices.]
Nejrokomp'jutery: razrabotka, primenenie. -, č. 1 (2011), s. 25-46. ISSN 1999-8554
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Institutional research plan: CEZ:AV0Z10300504
Keywords : Boolean factor analysis * recurrent neural network * Hopfield-like neural network * associative memory * unsupervised learning
Subject RIV: IN - Informatics, Computer Science
http://www.radiotec.ru/catalog.php?cat=jr7&art=8576
Permanent Link: http://hdl.handle.net/11104/0197681 - 8.0334976 - ÚI 2010 RIV NL eng J - Journal Article
Frolov, A. A. - Húsek, Dušan - Muraviev, I. P. - Polyakov, P.Y.
Origin and Elimination of Two Global Spurious Attractors in Hopfield-Like Neural Network Performing Boolean Factor Analysis.
[Původ a odstranění dvou globálních lživých atraktorů v booleovském faktorovém analyzátoru založeném na Hopfieldově neuronové síti.]
Neurocomputing. Roč. 73, č. 7-9 (2010), s. 1394-1404. ISSN 0925-2312. E-ISSN 1872-8286
R&D Projects: GA ČR GA205/09/1079; GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : Boolean factor analysis * Hopfield neural Network * unsupervised learning * dimension reduction * data mining
Subject RIV: IN - Informatics, Computer Science
Impact factor: 1.429, year: 2010
Permanent Link: http://hdl.handle.net/11104/0179576 - 9.0321649 - ÚI 2010 RIV US eng J - Journal Article
Frolov, A. A. - Húsek, Dušan - Polyakov, P.Y.
Recurrent Neural Network Based Boolean Factor Analysis and its Application to Word Clustering.
[Booleovská faktorová analýza založená na rekurentní neuronové síti a její aplikace na shlukování slov.]
IEEE Transactions on Neural Networks. Roč. 20, č. 7 (2009), s. 1073-1086. ISSN 1045-9227
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : recurrent neural network * Hopfield-like neural network * associative memory * unsupervised learning * neural network architecture * neural network application * statistics * Boolean factor analysis * concepts search * information retrieval
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 2.889, year: 2009
Permanent Link: http://hdl.handle.net/11104/0170122 - 10.0103370 - UIVT-O 20040111 CZ cze K - Conference Paper (Czech conference)
Burian, Jan
Kognitivní inspirace pro třídění na základě závislosti atributů.
[Cognitive Inspiration for Unsupervised Learning Using the Attribute Dependency.]
Doktorandský den '04. Praha: MATFYZPRESS, 2004 - (Hakl, F.), s. 180-186. ISBN 80-86732-30-4.
[Doktorandský den '04. Paseky nad Jizerou (CZ), 29.09.2004-01.10.2004]
Institutional research plan: CEZ:AV0Z1030915
Keywords : unsupervised learning * attribute dependendcy * classification of records
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0010679