Лінейны дыскрымінантны аналіз (Belarusian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Лінейны дыскрымінантны аналіз" in Belarusian language version.

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adelaide.edu.au

digital.library.adelaide.edu.au

  • Fisher, R. A. (1936). "The Use of Multiple Measurements in Taxonomic Problems" (PDF). Annals of Eugenics. 7 (2): 179–188. doi:10.1111/j.1469-1809.1936.tb02137.x. hdl:2440/15227.

ams.org

mathscinet.ams.org

archive.org

arxiv.org

  • Ahdesmäki, M.; Strimmer, K. (2010). "Feature selection in omics prediction problems using cat scores and false nondiscovery rate control". Annals of Applied Statistics. 4 (1): 503–519. arXiv:0903.2003. doi:10.1214/09-aoas277. S2CID 2508935.

doi.org

  • Fisher, R. A. (1936). "The Use of Multiple Measurements in Taxonomic Problems" (PDF). Annals of Eugenics. 7 (2): 179–188. doi:10.1111/j.1469-1809.1936.tb02137.x. hdl:2440/15227.
  • Martinez, A. M.; Kak, A. C. (2001). "PCA versus LDA" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 23 (2): 228–233. doi:10.1109/34.908974. Архівавана з арыгінала (PDF) 11 кастрычніка 2008. Праверана 4 красавіка 2023. Архіўная копія(недаступная спасылка). Архівавана з першакрыніцы 11 кастрычніка 2008. Праверана 4 красавіка 2023.Архіўная копія(недаступная спасылка). Архівавана з першакрыніцы 11 кастрычніка 2008. Праверана 4 красавіка 2023.
  • Perriere, G.; Thioulouse, J. (2003). "Use of Correspondence Discriminant Analysis to predict the subcellular location of bacterial proteins". Computer Methods and Programs in Biomedicine. 70 (2): 99–105. doi:10.1016/s0169-2607(02)00011-1. PMID 12507786.
  • Aliyari Ghassabeh, Youness; Rudzicz, Frank; Moghaddam, Hamid Abrishami (2015-06-01). "Fast incremental LDA feature extraction". Pattern Recognition. 48 (6): 1999–2012. Bibcode:2015PatRe..48.1999A. doi:10.1016/j.patcog.2014.12.012.
  • Chatterjee, C.; Roychowdhury, V.P. (1997-05-01). "On self-organizing algorithms and networks for class-separability features". IEEE Transactions on Neural Networks. 8 (3): 663–678. doi:10.1109/72.572105. ISSN 1045-9227. PMID 18255669.
  • Demir, G. K.; Ozmehmet, K. (2005-03-01). "Online Local Learning Algorithms for Linear Discriminant Analysis". Pattern Recognit. Lett. 26 (4): 421–431. Bibcode:2005PaReL..26..421D. doi:10.1016/j.patrec.2004.08.005. ISSN 0167-8655.
  • Yu, H.; Yang, J. (2001). "A direct LDA algorithm for high-dimensional data — with application to face recognition". Pattern Recognition. 34 (10): 2067–2069. Bibcode:2001PatRe..34.2067Y. CiteSeerX 10.1.1.70.3507. doi:10.1016/s0031-3203(00)00162-x.
  • Friedman, J. H. (1989). "Regularized Discriminant Analysis" (PDF). Journal of the American Statistical Association. 84 (405): 165–175. CiteSeerX 10.1.1.382.2682. doi:10.2307/2289860. JSTOR 2289860. MR 0999675.
  • Ahdesmäki, M.; Strimmer, K. (2010). "Feature selection in omics prediction problems using cat scores and false nondiscovery rate control". Annals of Applied Statistics. 4 (1): 503–519. arXiv:0903.2003. doi:10.1214/09-aoas277. S2CID 2508935.

ejer.com.tr

handle.net

hdl.handle.net

  • Fisher, R. A. (1936). "The Use of Multiple Measurements in Taxonomic Problems" (PDF). Annals of Eugenics. 7 (2): 179–188. doi:10.1111/j.1469-1809.1936.tb02137.x. hdl:2440/15227.

harvard.edu

ui.adsabs.harvard.edu

jstor.org

ncsu.edu

www2.chass.ncsu.edu

nih.gov

pubmed.ncbi.nlm.nih.gov

  • Perriere, G.; Thioulouse, J. (2003). "Use of Correspondence Discriminant Analysis to predict the subcellular location of bacterial proteins". Computer Methods and Programs in Biomedicine. 70 (2): 99–105. doi:10.1016/s0169-2607(02)00011-1. PMID 12507786.
  • Chatterjee, C.; Roychowdhury, V.P. (1997-05-01). "On self-organizing algorithms and networks for class-separability features". IEEE Transactions on Neural Networks. 8 (3): 663–678. doi:10.1109/72.572105. ISSN 1045-9227. PMID 18255669.

osu.edu

ece.osu.edu

psu.edu

citeseerx.ist.psu.edu

semanticscholar.org

pdfs.semanticscholar.org

api.semanticscholar.org

  • Ahdesmäki, M.; Strimmer, K. (2010). "Feature selection in omics prediction problems using cat scores and false nondiscovery rate control". Annals of Applied Statistics. 4 (1): 503–519. arXiv:0903.2003. doi:10.1214/09-aoas277. S2CID 2508935.

stanford.edu

slac.stanford.edu

tandfonline.com

utdallas.edu

web.archive.org

worldcat.org