Search results

  1. 1.
    0405446 - UIVT-O 330821 RIV AT eng C - Conference Paper (international conference)
    Kůrková, Věra
    Minimization of Empirical Error over Perceptron Networks.
    [Minimalizace empirické chyby na perceptronových sítích.]
    Adaptive and Natural Computing Algorithms. Wien: Springer-Verlag, 2005 - (Ribiero, B.; Albrecht, R.; Dobnikar, A.; Pearson, D.; Steele, N.), s. 46-49. ISBN 3-211-24934-6.
    [ICANNGA'2005 /7./. Coimbra (PT), 21.03.2005-23.03.2005]
    R&D Projects: GA ČR GA201/05/0557
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : supervised learning * perceptron networks * approximate optimization
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125610
     
     
  2. 2.
    0405215 - UIVT-O 330387 RIV NL eng J - Journal Article
    Kůrková, Věra - Sanguineti, M.
    Learning with Generalization Capability by Kernel Methods of Bounded Complexity.
    [Učení se schopností generalizace pomocí jádrových metod omezené složitosti.]
    Journal of Complexity. Roč. 21, č. 3 (2005), s. 350-367. ISSN 0885-064X. E-ISSN 1090-2708
    R&D Projects: GA AV ČR 1ET100300419
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : supervised learning * generalization * model complexity * kernel methods * minimization of regularized empirical errors * upper bounds on rates of approximate optimization
    Subject RIV: BA - General Mathematics
    Impact factor: 1.186, year: 2005
    Permanent Link: http://hdl.handle.net/11104/0125406
    FileDownloadSizeCommentaryVersionAccess
    0405215.pdf01.1 MBAuthor´s preprintopen-access
     
     
  3. 3.
    0405189 - UIVT-O 20030200 CZ eng V - Research Report
    Kůrková, Věra - Sanguineti, M.
    Learning with Generalization Capability by Kernel Methods of Bounded Complexity.
    Prague: ICS AS CR, 2003. 16 s. Technical Report, V-901.
    R&D Projects: GA ČR GA201/02/0428
    Grant - others:IT-CZ Area MC6(XX) Project 22
    Institutional research plan: AV0Z1030915
    Keywords : supervised learning * generalization * model complexity * kernel methods * minimization of regularized empirical errors * upper bounds on rates of approximate optimization
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125385
    FileDownloadSizeCommentaryVersionAccess
    v901-03.pdf15276.9 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
    FileDownloadSizeCommentaryVersionAccess
    v882-02.pdf18220.6 KBOtheropen-access
     
     
  5. 5.
    0404821 - UIVT-O 20030183 RIV AT eng C - Conference Paper (international conference)
    Kůrková, Věra - Sanguineti, M.
    Neural Network Learning as Approximate Optimization.
    Artificial Neural Nets and Genetic Algorithms. Wien: SpringerVerlag, 2003 - (Pearson, D.; Steele, N.; Albrecht, R.), s. 53-57. ISBN 3-211-00743-1.
    [ICANNGA'2003 /6./. Roanne (FR), 23.04.2003-25.04.2003]
    R&D Projects: GA ČR GA201/02/0428
    Grant - others:IT-CZ Area MC6(XX) Project 22
    Institutional research plan: AV0Z1030915
    Keywords : neural networks * learning from data * approximate optimization
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125054
     
     
  6. 6.
    0105259 - UIVT-O 20040250 RIV US eng J - Journal Article
    Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
    Minimization of Error Functionals over Variable-basis Functions.
    [Minimalizace chybových funkcionálů na neuronových sítích.]
    SIAM Journal on Optimization. Roč. 14, č. 3 (2003), s. 732-742. ISSN 1052-6234. E-ISSN 1095-7189
    R&D Projects: GA ČR GA201/00/1482; GA ČR GA201/02/0428
    Grant - others:CZ-IT Area MC 6(XX) Project 22
    Institutional research plan: CEZ:AV0Z1030915
    Keywords : error functionals * approximate optimization * generalized Tikhonov well-posedness * rate of decrease of infima * complexity of admissible functions
    Subject RIV: BA - General Mathematics
    Impact factor: 1.757, year: 2003
    Permanent Link: http://hdl.handle.net/11104/0012506
    FileDownloadSizeCommentaryVersionAccess
    0105259.pdf1484.1 KBAuthor´s preprintopen-access
     
     


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