Search results

  1. 1.
    0411018 - UTIA-B 20030005 RIV NL eng J - Journal Article
    Somol, Petr - Pudil, Pavel
    Feature selection toolbox.
    Pattern Recognition. Roč. 35, č. 12 (2002), s. 2749-2759. ISSN 0031-3203. E-ISSN 1873-5142
    R&D Projects: GA MŠMT ME 187; GA ČR GA402/01/0981
    Institutional research plan: CEZ:AV0Z1075907
    Keywords : pattern recognition * feature selection * subset search
    Subject RIV: JC - Computer Hardware ; Software
    Impact factor: 1.038, year: 2002
    http://library.utia.cas.cz/separaty/historie/somol-feature selection toolbox.pdf
    Permanent Link: http://hdl.handle.net/11104/0131105
     
     
  2. 2.
    0357271 - ÚTIA 2011 CZ eng V - Research Report
    Somol, Petr - Vácha, Pavel - Mikeš, Stanislav - Hora, Jan - Pudil, Pavel - Žid, Pavel
    Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification.
    Praha: ÚTIA, 2010. 13 s. Research Report, 2287.
    R&D Projects: GA MŠMT 1M0572
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * software library * subset search * attribute selection * variable selection * optimization * machine learning * classification * pattern recognition
    Subject RIV: BD - Theory of Information
    http://fst.utia.cz/download/FST3_Introduction_UTIA_TR2287.pdf
    Permanent Link: http://hdl.handle.net/11104/0195589
    FileDownloadSizeCommentaryVersionAccess
    0357271.pdf11 MBOtheropen-access
     
     
  3. 3.
    0357268 - ÚTIA 2011 CZ eng V - Research Report
    Somol, Petr - Pudil, Pavel
    Sequential Retreating Search Methods in Feature Selection.
    Praha: ÚTIA, 2010. 21 s. Research Report, 2286.
    R&D Projects: GA MŠMT 1M0572; GA AV ČR IAA2075302
    Grant - others:GA ČR(CZ) GA402/03/1310; GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * wrappers * sequential search * subset search * method evaluation * classifier performance * pattern recognition
    Subject RIV: BD - Theory of Information
    Permanent Link: http://hdl.handle.net/11104/0195586
     
     
  4. 4.
    0342820 - ÚTIA 2011 RIV HR eng M - Monography Chapter
    Somol, Petr - Novovičová, Jana - Pudil, Pavel
    Efficient Feature Subset Selection and Subset Size Optimization.
    Pattern Recognition, Recent Advances. Vukovar, Croatia: In-Teh, 2010 - (Herout, A.), s. 75-98. ISBN 978-953-7619-90-9
    R&D Projects: GA MŠMT 1M0572; GA ČR GA102/08/0593; GA ČR GA102/07/1594
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : dimensionality reduction * pattern recognition * machine learning * feature selection * optimization * subset search * classification
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2010/RO/somol-efficient feature subset selection and subset size optimization.pdf
    Permanent Link: http://hdl.handle.net/11104/0185446
     
     
  5. 5.
    0341554 - ÚTIA 2011 RIV CA eng C - Conference Paper (international conference)
    Somol, Petr - Novovičová, Jana - Pudil, Pavel
    Improving Sequential Feature Selection Methods Performance by Means of Hybridization.
    Proc. 6th IASTED Int. Conf. on Advances in Computer Science and Engineering. Calgary: ACTA Press, 2010 - (Rafea), 689-1-689-10. ISBN 978-0-88986-830-4.
    [Advances in Computer Science and Engineering. Sharm El Sheikh (EG), 15.03.2010-17.03.2010]
    R&D Projects: GA MŠMT 1M0572; GA ČR GA102/08/0593; GA ČR GA102/07/1594
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : Feature selection * sequential search * hybrid methods * classification performance * subset search * statistical pattern recognition
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2010/RO/somol-improving sequential feature selection methods performance by means of hybridization.pdf
    Permanent Link: http://hdl.handle.net/11104/0184495
     
     
  6. 6.
    0317356 - ÚTIA 2010 RIV US eng C - Conference Paper (international conference)
    Somol, Petr - Novovičová, Jana - Grim, Jiří - Pudil, Pavel
    Dynamic Oscillating Search Algorithm for Feature Selection.
    [Dynamické oscilační vyhledávání pro výběr příznaků.]
    ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition). Tampa, Florida: IEEE Computer Society, 2008, s. 2308-2311. ISBN 978-1-4244-2174-9.
    [ICPR 2008 (Int. Conf. on Pattern Recognition). Tampa, Florida (US), 07.12.2008-11.12.2008]
    R&D Projects: GA MŠMT 1M0572; GA AV ČR 1ET400750407
    Grant - others:GA ČR(CZ) GA402/03/1310; GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * subset search * sequential search * oscillating search * subset size optimization
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2008/RO/somol-dynamic oscillating search algorithm for feature selection.pdf
    Permanent Link: http://hdl.handle.net/11104/0167022
     
     
  7. 7.
    0106303 - UTIA-B 20040115 RIV DE eng C - Conference Paper (international conference)
    Somol, Petr - Pudil, Pavel - Grim, Jiří
    On prediction mechanisms in Fast Branch & Bound algorithms.
    [Predikční mechanismy v rychlých Branch & Bound algoritmech.]
    Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR International Workshops SSPR 2004 and SPR 2004. Proceedings. Berlin: Springer, 2004 - (Fred, A.; Caelli, T.; Duin, R.), s. 716-724. Lecture Notes in Computer Science., 3138. ISBN 3-540-22570-6.
    [Joint IAPR Workshops SSPR 2004 and SPR 2004. Lisbon (PT), 18.08.2004-20.08.2004]
    R&D Projects: GA ČR GA402/02/1271; GA ČR GA402/03/1310
    Institutional research plan: CEZ:AV0Z1075907
    Keywords : subset search * feature selection * search tree
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/historie/somol-on prediction mechanisms in fast branch & bound algorithms.pdf
    Permanent Link: http://hdl.handle.net/11104/0013485
     
     
  8. 8.
    0106281 - UTIA-B 20040093 RIV US eng J - Journal Article
    Somol, Petr - Pudil, Pavel - Kittler, J.
    Fast Branch & Bound algorithms for optimal feature selection.
    [Rychlé algoritmy větví a mezí pro optimální výběr příznaků.]
    IEEE Transactions on Pattern Analysis and Machine Intelligence. Roč. 26, č. 7 (2004), s. 900-912. ISSN 0162-8828. E-ISSN 1939-3539
    R&D Projects: GA ČR GA402/02/1271; GA ČR GA402/03/1310; GA AV ČR KSK1019101
    Institutional research plan: CEZ:AV0Z1075907
    Keywords : subset search * feature selection * search tree
    Subject RIV: BD - Theory of Information
    Impact factor: 4.352, year: 2004
    Permanent Link: http://hdl.handle.net/11104/0013463
     
     
  9. 9.
    0099286 - ÚTIA 2010 RIV PT eng C - Conference Paper (international conference)
    Somol, Petr - Novovičová, Jana - Pudil, Pavel
    Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples.
    [Jsou lepší metody výběru příznaků skutečně lepší? Diskuse, Úvahy, Příklady.]
    Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2008. Madeira: INSTICC Press, 2008, s. 246-253. ISBN 978-989-8111-16-6.
    [International Conference on Health Informatics. Funchal Madeira (PT), 28.01.2008-31.01.2008]
    R&D Projects: GA ČR GA102/07/1594; GA MŠMT 1M0572; GA AV ČR IAA2075302
    EU Projects: European Commission(XE) 507752 - MUSCLE
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * subset search * performance estimation * classification accuracy
    Subject RIV: IN - Informatics, Computer Science
    http://library.utia.cas.cz/separaty/2008/RO/somol-are better feature selection methods actually better discussion, reasoning and examples.pdf
    Permanent Link: http://hdl.handle.net/11104/0157947
     
     
  10. 10.
    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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