Search results

  1. 1.
    0411076 - UTIA-B 20030063 CZ eng D - Thesis
    Novovičová, Jana
    Statistical Pattern Recognition: Methods for Feature Selection. Habilitation Thesis.
    Czech Technical University. Defended: Czech Technical University. 20030425. - 2001. 75 s.
    R&D Projects: GA AV ČR KSK1019101
    Institutional research plan: CEZ:AV0Z1075907
    Keywords : pattern recognition * feature selection * search methods
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0131163
     
     
  2. 2.
    0410987 - UTIA-B 20020201 RIV NL eng M - Monography Chapter
    Pudil, Pavel - Novovičová, Jana - Somol, Petr
    Recent feature selection methods in statistical pattern recognition.
    Dordrecht: Kluwer, 2003. ISBN 1-4020-0953-4. In: Pattern Recognition and String Matching. - (Chen, D.; Cheng, X.), s. 1-51
    R&D Projects: GA ČR GA402/01/0981; GA AV ČR KSK1019101
    Institutional research plan: CEZ:AV0Z1075907
    Keywords : pattern recognition * feature selection * search methods
    Subject RIV: BC - Control Systems Theory
    Permanent Link: http://hdl.handle.net/11104/0131074
     
     
  3. 3.
    0410696 - UTIA-B 20010165 RIV BY eng C - Conference Paper (international conference)
    Pudil, Pavel - Somol, Petr
    Recent advances in methodology of feature selection for statistical pattern recognition.
    Minsk: Belarussian State University, 2001. ISBN 985-445-491-6. In: Computer Data Analysis and Modeling. Proceedings of the Sixth International Conference. - (Aivazian, S.; Kharin, Y.; Rieder, H.), s. 163-171
    [Computer Data Analysis and Modeling. Minsk (BY), 10.09.2001-14.09.2001]
    R&D Projects: GA MŠMT LN00B107; GA ČR GA402/01/0981
    Institutional research plan: AV0Z1075907
    Keywords : statistical pattern recognition * feature selection * floating-search methods
    Subject RIV: JD - Computer Applications, Robotics
    Permanent Link: http://hdl.handle.net/11104/0130784
     
     
  4. 4.
    0404487 - UIVT-O 20010142 RIV US eng J - Journal Article
    Lukšan, Ladislav - Vlček, Jan
    Numerical Experience with Iterative Methods for Equality Constrained Nonlinear Programming Problems.
    Optimization Methods & Software. Roč. 16, č. 1-4 (2001), s. 257-287. ISSN 1055-6788. E-ISSN 1029-4937
    R&D Projects: GA ČR GA201/00/0080
    Institutional research plan: AV0Z1030915
    Keywords : nonlinear equations * sparse problems * equality constraints * inexact Newton method * line search methods * indefinite systems * indefinite preconditioners * symmetric Krylov subspace methods * residual smoothing * computational experiments
    Subject RIV: BB - Applied Statistics, Operational Research
    Impact factor: 0.623, year: 2001
    Permanent Link: http://hdl.handle.net/11104/0124740
     
     
  5. 5.
    0404051 - UIVT-O 20000185 CZ eng V - Research Report
    Lukšan, Ladislav - Vlček, Jan
    Numerical Experience with Iterative Methods for Equality Constrained Nonlinear Programming Problems.
    Prague: ICS AS CR, 2000. 28 s. Technical Report, V-779.
    R&D Projects: GA ČR GA201/00/0080
    Institutional research plan: AV0Z1030915
    Keywords : nonlinear programming * sparse problems * equality constraints * inexact Newton method * line search methods * trust region methods * indefinite systems * indefinite preconditioners * symmetric Krylov subspace methods * residual smoothing * computational experiments
    Permanent Link: http://hdl.handle.net/11104/0124329
    FileDownloadSizeCommentaryVersionAccess
    v779-99.pdf31272.8 KBOtheropen-access
     
     
  6. 6.
    0402503 - UIVT-O 960122 US eng J - Journal Article
    Lukšan, Ladislav
    Hybrid Methods for Large Sparse Nonlinear Least Squares.
    Journal of Optimization Theory and Applications. Roč. 89, č. 3 (1996), s. 575-595. ISSN 0022-3239. E-ISSN 1573-2878
    R&D Projects: GA ČR GA201/93/0429
    Keywords : unconstrained optimization * nonlinear least squares * line search methods * trust region methods * Gauss-Newton method * hybrid methods * sparse problems * matrix iterative methods * matrix direct methods * computational experiments
    Impact factor: 0.520, year: 1996
    Permanent Link: http://hdl.handle.net/11104/0122910
     
     
  7. 7.
    0337601 - ÚT 2010 CZ eng D - Thesis
    Kopačka, Ján
    Assessment of numerical procedures for determination of the penalty function in contact problems.
    [Hodnocení numerických procedur pro stanovení pokutové funkce v problémech mechaniky kontaktu.]
    ČVUT v Praze, Fakulta strojní, Ústav termomechaniky oddělení rázy a vlny v tělesech. Defended: ČVUT. 21.01.2010. - Praha: České vysoké učení technické v Praze, Fakulta strojní: Praha, 2009. 67 s.
    R&D Projects: GA ČR(CZ) GA101/07/1471; GA ČR(CZ) GA101/09/1630
    Institutional research plan: CEZ:AV0Z20760514
    Keywords : local contact search * line-search methods * normal vector
    Subject RIV: JC - Computer Hardware ; Software
    Permanent Link: http://hdl.handle.net/11104/0181558
     
     
  8. 8.
    0085720 - ÚTIA 2008 CZ eng V - Research Report
    Somol, Petr - Novovičová, Jana
    Does It Make Sense to Develop New Feature Selection Methods?.
    [Má smysl vyvíjet nové metody výběru příznaků?]
    Praha: ÚTIA AV ČR, 2007. 11 s. Research Report, 2193.
    R&D Projects: GA MŠMT(CZ) 2C06019; GA MŠMT 1M0572; GA AV ČR IAA2075302
    EU Projects: European Commission(XE) 507752 - MUSCLE
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * subset search * search methods * performance estimation * classification accuracy
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0148168
     
     


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