Search results

  1. 1.
    0450068 - ÚEM 2016 RIV GB eng J - Journal Article
    Zalel, A. - Yuval, M. - Švecová, Vlasta - Šrám, Radim - Bartoňová, A. - Broday, D. M.
    Modeling airborne benzo(a)pyrene concentrations in the Czech Republic.
    Atmospheric Environment. Roč. 101, JAN (2015), s. 166-176. ISSN 1352-2310. E-ISSN 1873-2844
    Institutional support: RVO:68378041
    Keywords : PAHs * B[a]P * Multivariate linear regression * Classification trees * Air pollution monitoring
    Subject RIV: FP - Other Medical Disciplines
    Impact factor: 3.459, year: 2015
    Permanent Link: http://hdl.handle.net/11104/0252858
     
     
  2. 2.
    0422534 - BÚ 2014 RIV CZ eng J - Journal Article
    Kúr, P. - Štech, M. - Koutecký, P. - Trávníček, Pavel
    Morphological and cytological variation in Spergularia echinosperma and S. rubra, and notes on potential hybridization of these two species.
    Preslia. Roč. 84, č. 4 (2012), s. 905-924. ISSN 0032-7786. E-ISSN 0032-7786
    Institutional support: RVO:67985939
    Keywords : Spergularia * morphometric analysis * inter-ploidy hybridization * genome size * flow cytometry * discriminant analysis * classification trees * allopolyploidy
    Subject RIV: EF - Botanics
    Impact factor: 2.833, year: 2012
    Permanent Link: http://hdl.handle.net/11104/0228666
     
     
  3. 3.
    0404579 - UIVT-O 20010184 CZ eng V - Research Report
    Savický, Petr - Klaschka, Jan
    Optimally Trained Classification Trees and Occam's Razor.
    Prague: ICS AS CR, 2001. 33 s. Technical Report, V-855.
    R&D Projects: GA ČR GA201/00/1482
    Institutional research plan: AV0Z1030915
    Keywords : classification trees * recursive partitioning * optimization * dynamic programming * bottom-up algorithms * generalization * Occam's razor
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124824
    FileDownloadSizeCommentaryVersionAccess
    v855-01.pdf19314 KBOtheropen-access
     
     
  4. 4.
    0403970 - UIVT-O 20000110 RIV DE eng C - Conference Paper (international conference)
    Savický, Petr - Klaschka, Jan - Antoch, J.
    Optimal Classification Trees.
    COMPSTAT Proceedings in Computational Statistics. Heidelberg: PhysicaVerlag, 2000 - (Bethlehem, J.; van der Heijden, P.), s. 427-432. ISBN 3-7908-1326-5.
    [COMPSTAT 2000 Symposium /14./. Utrecht (NL), 21.08.2000-25.08.2000]
    R&D Projects: GA ČR GA201/00/1482; GA ČR GA201/00/0769
    Institutional research plan: AV0Z1030915
    Keywords : classification trees * cost-complexity measure * optimal trees * algorithms * bottom-up procedures
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124254
     
     
  5. 5.
    0390576 - ÚI 2013 RIV NL eng C - Conference Paper (international conference)
    Klaschka, Jan
    Avoiding overfit by restricted model search in tree-based EEG classification.
    Proceedings of the 58th World Statistics Congress 2011. The Hague: International Statistical Institute, 2012, s. 5077-5082. ISBN 978-90-73592-33-9.
    [ISI 2011. Session of the International Statistical Institute /58./. Dublin (IE), 21.08.2011-26.08.2011]
    R&D Projects: GA MŠMT ME 949
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : model search * electroencephalography * classification trees and forests * random forests
    Subject RIV: BB - Applied Statistics, Operational Research
    http://2011.isiproceedings.org/papers/950644.pdf
    Permanent Link: http://hdl.handle.net/11104/0219441
    FileDownloadSizeCommentaryVersionAccess
    a0390576.pdf0167.1 KBPublisher’s postprintrequire
    0390576.pdf1688.5 KBAuthor´s preprintopen-access
     
     
  6. 6.
    0374195 - ÚI 2012 CZ eng V - Research Report
    Robnik-Šikonja, M. - Savický, Petr
    Trends in random forests parameters for classification of imbalanced data.
    Prague: ICS AS CR, 2012. 11 s. Technical Report, V-1153.
    R&D Projects: GA ČR GAP202/10/1333; GA MŠMT(CZ) MEB091008
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : machine learning * imbalanced data * classification trees * random forests
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0207169
    FileDownloadSizeCommentaryVersionAccess
    v1153-12.pdf25134.5 KBOtheropen-access
     
     
  7. 7.
    0339931 - ÚI 2010 RIV DE eng C - Conference Paper (international conference)
    Dvořák, Jakub - Savický, Petr
    Softening Splits in Decision Trees using Simulated Annealing.
    Adaptive and Natural Computing Algorithms. Berlin: Springer, 2007 - (Beliczynski, B.; Dzielinski, A.; Iwanowski, M.; Ribeiro, B.), s. 721-729. Lecture Notes in Computer Science, 4431. ISBN 978-3-540-71589-4.
    [ICANNGA'2007 /8./. Warsaw (PL), 11.04.2007-14.04.2007]
    R&D Projects: GA ČR(CZ) GD201/05/H014; GA AV ČR 1ET100300517
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : classification trees * soft splits * simulated annealing
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0183300
     
     
  8. 8.
    0311419 - ÚI 2009 RIV GR eng C - Conference Paper (international conference)
    Coufal, David
    Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms.
    [Výběr elektrod pro detekci mikrospánků na základě klasifikace EEG spektrogramů.]
    New Aspects on Computing Research. Athens: WSEAS Press, 2008 - (Cepisca, C.; Kouzaev, G.; Mastorakis, N.), s. 338-343. Recent Advances in Computer Engineering. ISBN 978-960-474-002-4.
    [ECC'08. European Computing Conference /2./. Malta (MT), 11.09.2008-13.09.2008]
    R&D Projects: GA MDS 1F84B/042/520
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : microsleep detection * EEG spectrograms * data mining techniques * classification trees
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0163036
     
     
  9. 9.
    0103340 - UIVT-O 20040081 RIV JP eng C - Conference Paper (international conference)
    Coufal, David
    The GUHA Method Supported Classification of EEG Data.
    [Klasifikace EEG dat pomocí metody GUHA.]
    Proceedings of 7th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty. Kobe: University of Marketing and Distribution Sciences, 2004 - (Noguchi, H.; Ishii, H.; Inuiguchi, M.), s. 174-178
    [Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /7./. Awaji (JP), 31.08.2004-02.09.2004]
    R&D Projects: GA MŠMT ME 701
    Institutional research plan: CEZ:AV0Z1030915
    Keywords : micro-sleep * EEG analysis * data mining * classification trees
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0010649
     
     
  10. 10.
    0088987 - ÚI 2008 RIV CZ eng M - Monography Chapter
    Klaschka, Jan
    Tree-based Classification Models for Somnolence Detection from EEG Spectra.
    [Klasifikační modely založené na stromech pro detekci ospalosti ze spekter EEG.]
    Neuroinformatic Databases and Mining of Knowledge of Them. Prague: Czech Technical University, 2007 - (Novák, M.), s. 212-233. Edice monografií NNW, 7. ISBN 978-80-87136-01-0
    R&D Projects: GA MŠMT ME 701
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : classification trees * classification forests * random forests * OOB estimates * EEG classification * somnolence * microsleeps
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0150349
     
     

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