Search results
- 1.0405469 - UIVT-O 330844 RIV FR eng C - Conference Paper (international conference)
Šebesta, Václav - Tučková, J.
The Extraction of Markers for the Training of Neural Network Dedicated for the Speech Prosody Control.
[Výběr markerů pro učení neuronové sítě, určené pro řízení prozodie hlasového syntezátoru.]
Novel Applications of Neural Networks in Engineering. Douai: École des Mines de Douai, 2005 - (Lecoeuche, S.; Tsaptsinos, D.), s. 245-250
[EANN'05. International Conference on Engineering Applications of Neural Networks /9./. Lille (FR), 24.08.2005-26.08.2005]
R&D Projects: GA ČR GA102/05/0278
Institutional research plan: CEZ:AV0Z10300504
Keywords : neural network application * speech processing * prosody control * data mining * GUHA method
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0125632 - 2.0398493 - ÚI 2015 RIV NL eng J - Journal Article
Frolov, A. A. - Húsek, Dušan - Polyakov, P.Y. - Snášel, V.
New BFA Method Based on Attractor Neural Network and Likelihood Maximization.
[Nová metoda BFA založená na atraktorové neuronové síti a maximalizaci věrohodnostní funkce.]
Neurocomputing. Roč. 132, 20 May (2014), s. 14-29. ISSN 0925-2312. E-ISSN 1872-8286
Grant - others:GA MŠk(CZ) ED1.1.00/02.0070; GA MŠk(CZ) EE.2.3.20.0073
Program: ED
Institutional support: RVO:67985807
Keywords : recurrent neural network * associative memory * Hebbian learning rule * neural network application * data mining * statistics * Boolean factor analysis * information gain * dimension reduction * likelihood-maximization * bars problem
Subject RIV: IN - Informatics, Computer Science
Impact factor: 2.083, year: 2014
Permanent Link: http://hdl.handle.net/11104/0225993 - 3.0382475 - ÚI 2016 RIV US eng J - Journal Article
Frolov, A. - Húsek, Dušan - Polyakov, P.Y.
Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.
IEEE Transactions on Neural Networks and Learning Systems. Roč. 27, č. 3 (2016), s. 538-550. ISSN 2162-237X. E-ISSN 2162-2388
R&D Projects: GA MŠMT ED1.1.00/02.0070
Institutional support: RVO:67985807
Keywords : associative memory * bars problem (BP) * Boolean factor analysis (BFA) * data mining * dimension reduction * Hebbian learning rule * information gain * likelihood maximization (LM) * neural network application * recurrent neural network * statistics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.108, year: 2016
Permanent Link: http://hdl.handle.net/11104/0212684 - 4.0376630 - ÚI 2013 CZ cze V - Research Report
Húsek, Dušan - Frolov, A. A. - Polyakov, P.Y.
Hybrid Method of Boolean Factor Analysis.
Prague: ICS AS CR, 2011. 23 s. Technical Report, V-1115.
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Grant - others:GA MŠk(CZ) ED1.1.00/02.0070
Program: ED
Institutional research plan: CEZ:AV0Z10300504
Keywords : recurrent neural network * associative memory * neural network application * statistics * likelihood maximization * Boolean factor analysis * information gain * expectation-maximization * dendritic inhibition * Boolean matrix factorization * bars problem
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0208982File Download Size Commentary Version Access v1115-11.pdf 32 1.2 MB Other open-access - 5.0368431 - ÚI 2012 RIV US eng C - Conference Paper (international conference)
Frolov, A. A. - Húsek, Dušan - Polyakov, P.Y.
Expectation-Maximization Approach to Boolean Factor Analysis.
IJCNN 2011 Conference Proceedings. Piscataway: IEEE, 2011, s. 559-566. ISBN 978-1-4244-9636-5.
[IJCNN 2011. International Joint Conference on Neural Networks. San Jose (US), 31.07.2011-05.08.2011]
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079; GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : Boolean factor analysis * bars problem * dendritic inhibition * expectation-maximization * neural network application * statistics
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0202775File Download Size Commentary Version Access a0368431.pdf 2 573 KB Publisher’s postprint require - 6.0359156 - ÚI 2012 RIV DE eng C - Conference Paper (international conference)
Frolov, A. A. - Húsek, Dušan - Polyakov, P.Y.
New Measure of Boolean Factor Analysis Quality.
Adaptive and Natural Computing Algorithms. Part I. Vol. 1. Heidelberg: Springer, 2011 - (Dobnikar, A.; Lotrič, U.; Šter, B.), s. 100-109. Lecture Notes in Computer Science, 6593. ISBN 978-3-642-20281-0. ISSN 0302-9743.
[ICANNGA'2011. International Conference /10./. Ljubljana (SI), 14.04.2011-16.04.2011]
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Institutional research plan: CEZ:AV0Z10300504
Keywords : Boolean factor analysis * information gain * expectation-maximization * associative memory * neural network application * Boolean matrix factorization * bars problem * Hopfield neural network
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0196992File Download Size Commentary Version Access a0359156.pdf 1 275 KB Publisher’s postprint require - 7.0348321 - ÚI 2011 CZ eng V - Research Report
Húsek, Dušan - Frolov, A. - Polyakov, P.Y.
Analysis and Evaluation of Different Methods for Barr Problem Solving.
Prague: ICS AS CR, 2010. 27 s. Technical Report, V-1082.
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079; GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : recurrent neural network * associative memory * neural network application * statistics * Boolean factor analysis * information gain * expectation-maximization, * dendritic inhibition * Boolean matrix factorization * bars problem
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0188882File Download Size Commentary Version Access v1082-10.pdf 19 1.2 MB Other open-access - 8.0321649 - 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 - 9.0083501 - ÚI 2008 RIV US eng J - Journal Article
Frolov, A. A. - Húsek, Dušan - Muraviev, I. P. - Polyakov, P.Y.
Boolean Factor Analysis by Attractor Neural Network.
[Boolevská faktorová analýza pomocí atraktorové neuronové sítě.]
IEEE Transactions on Neural Networks. Roč. 18, č. 3 (2007), s. 698-707. ISSN 1045-9227
R&D Projects: GA AV ČR 1ET100300419; GA ČR GA201/05/0079
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 * dimensionality reduction * features clustering * concepts search * information retrieval
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 2.769, year: 2007
Permanent Link: http://hdl.handle.net/11104/0146721