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  1. 1.
    0532023 - ÚTIA 2021 CZ cze V - Research Report
    Podlesna, Yana - Kárný, Miroslav
    Kombinace prediktorů v odhadování parametrů.
    [Mixing of Predictors in Parameter Estimation.]
    Praha: ÚTIA AV ČR, 2020. 32 s. Research Report, 2385.
    R&D Projects: GA MŠk(CZ) LTC18075
    Institutional support: RVO:67985556
    Keywords : curse of dimensionality * Bayesian estimation * prediction * Markov decision process * decision making
    Subject RIV: BC - Control Systems Theory
    http://library.utia.cas.cz/separaty/2020/AS/karny-0532023.pdf
    Permanent Link: http://hdl.handle.net/11104/0310636

               
     
     
  2. 2.
    0505027 - ÚI 2020 GB eng J - Journal Article
    Hlaváčková-Schindler, Kateřina - Sanguineti, M.
    Bounds on the complexity of neural-network models and comparison with linear methods.
    International Journal of Adaptive Control and Signal Processing. Roč. 17, č. 2 (2003), s. 179-194. ISSN 0890-6327. E-ISSN 1099-1115
    Keywords : adaptive-control * system-identification * approximation * rates * non-linear models * polynomially bounded complexity * curse of dimensionality * neural networks
    Impact factor: 0.602, year: 2003
    Permanent Link: http://hdl.handle.net/11104/0296550

               
     
     
  3. 3.
    0405174 - UIVT-O 20030145 CZ eng V - Research Report
    Jiřina, Marcel
    Probability Density Estimation Classifier Based on Sample Distances.
    Prague: CTU + ICS AS CR, 2003. 10 s. Technical Report, V-902.
    R&D Projects: GA MŠk LN00B096
    Keywords : Bayes ratio estimation * curse of dimensionality * multivariate data * classification * classification speed * nearest neighbor
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125372

               
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    v902-03.pdf9326.9 KBOtheropen-access
     
     
  4. 4.
    0405002 - UIVT-O 20030185 CZ eng V - Research Report
    Kůrková, Věra - Sanguineti, M.
    Error Estimates for Approximate Optimization by the Extended Ritz Method.
    Prague: ICS AS CR, 2002. 17 s. Technical Report, V-882.
    R&D Projects: GA ČR GA201/02/0428
    Grant - others: IT-CZ Area MC6(XX) Project 22
    Institutional research plan: AV0Z1030915
    Keywords : approximate optimization * extended Ritz method * rates of convergence of approximate infima and argminima * high-dimensional optimization problems * curse of dimensionality * convex best approximation * learning from data
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125222

               
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    v882-02.pdf12220.6 KBOtheropen-access
     
     
  5. 5.
    0405000 - UIVT-O 330100 RIV US eng J - Journal Article
    Kůrková, Věra - Sanguineti, M.
    Error Estimates for Approximate Optimization by the Extended Ritz Method.
    [Odhady chyb při přibližné optimalizaci rozšířenou Ritzovou metodou.]
    SIAM Journal on Optimization. Roč. 15, č. 2 (2005), s. 461-487. ISSN 1052-6234. E-ISSN 1095-7189
    R&D Projects: GA ČR GA201/02/0428
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : functional optimization * rates of convergence of suboptimal solutions * (extended) Ritz method * curse of dimensionality * convex best approximation problems * learning from data by kernel methods
    Subject RIV: BA - General Mathematics
    Impact factor: 1.238, year: 2005
    Permanent Link: http://hdl.handle.net/11104/0125220

               
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    0405000.pdf21.3 MBAuthor´s preprintopen-access
     
     
  6. 6.
    0404796 - UIVT-O 20020083 CZ eng V - Research Report
    Jiřina, Marcel
    All Training Samples Density Estimation Classifier.
    Prague: CTU + ICS AS CR, 2002. 8 s. Technical Report, V-881.
    R&D Projects: GA MŠk LN00B096
    Keywords : Bayes ratio estimation * curse of dimensionality * multivariate data * classification quality
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125029

               
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    v881-02.pdf12109 KBOtheropen-access
     
     
  7. 7.
    0404713 - UIVT-O 20020064 CZ eng V - Research Report
    Kůrková, Věra - Sanguineti, M.
    Tight Bounds on Rates of Variable-Basis Approximation via Estimates of Covering Numbers.
    Prague: ICS AS CR, 2001. 12 s. Technical Report, V-865.
    R&D Projects: GA ČR GA201/99/0092
    Grant - others: NATO(XE) PST.CLG.976870
    Institutional research plan: AV0Z1030915
    Keywords : high-dimensional optimization * curse of dimensionality * rates of approximation * covering numbers * distributed computing * neural networks
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124952

               
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    v865-02.pdf13327 KBOtheropen-access
     
     
  8. 8.
    0404712 - UIVT-O 20020063 CZ eng V - Research Report
    Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
    Minimization of Error Functionals over Variable-Basis Functions.
    Prague: ICS AS CR, 2002. 17 s. Technical Report, V-864.
    R&D Projects: GA ČR GA201/00/1482
    Institutional research plan: AV0Z1030915
    Keywords : error functionals * approximate optimalization * generalized Tychonov well-posedness * rate of decrease of intima * complexity of admissible functions * curse of dimensionality * neural networks
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124951

               
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    v864-02.pdf12350.1 KBOtheropen-access
     
     
  9. 9.
    0404549 - UIVT-O 20010168 RIV US eng C - Conference Paper (international conference)
    Kůrková, Věra - Sanguineti, M.
    Dimension-Independent Approximation by Neural Networks: How Can we Cope With the Curse of Dimensionality?
    Nonlinear Problems in Aviation and Aerospace. Vol. 1. Cambridge: European Conference Publications, 2000 - (Sivasundaram, S.), s. 355-364
    [ICNPAA International Conference /3./. Daytona Beach (US), 10.05.2000-12.05.2000]
    R&D Projects: GA ČR GA201/99/0092; GA ČR GA201/00/1489
    Institutional research plan: AV0Z1030915
    Keywords : curse of dimensionality * dimension-independent approximation * linear and nonlinear approximation * complexity neural networks
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124798

               
     
     
  10. 10.
    0403860 - UIVT-O 20000039 RIV FR eng C - Conference Paper (international conference)
    Kůrková, Věra - Sanguineti, M.
    Some Comparisons of the Worst-Case Errors in Linear and Neural Network Approximation.
    Proceedings CD of the Fourteenth International Symposium of Mathematical Theory of Networks and Systems. Perpignan: Université de Perpignan, 2000, nestr.
    [MTNS'2000. International Symposium of Mathematical Theory of Networks and Systems /14./. Perpignan (FR), 19.06.2000-23.06.2000]
    R&D Projects: GA ČR GA201/99/0092
    Grant - others: MURST(IT) 96.02472.CT07; MURST(IT) 97.00048.PF42
    Institutional research plan: AV0Z1030915
    Keywords : linear and neural approximation * Kolmogorov n-width * dimension-independent approximation * one-hidden-layer perceptron networks * curse of dimensionality
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124148