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  1. 1
    Random projections for matrix decomposition and manifold learning

    Random projections for matrix decomposition and manifold learning by Aizenbud, Yariv, kirjoittaja

    Published 2019
    JYX-julkaisuarkisto / JYX Digital Archive
    Linkki verkkoaineistoon
    Doctoral dissertation
  2. 2
    Principal component regression (PCR) models to predict amount of lignin in Norway spruce clones with Fourier-transformed infrared (FTIR) spectra

    Principal component regression (PCR) models to predict amount of lignin in Norway spruce clones with Fourier-transformed infrared (FTIR) spectra by Pulkkinen, Minna

    Published 2006
    Master's thesis
  3. 3
    Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism

    Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism by Aaltonen, Olli-Pekka, kirjoittaja

    Published 2016
    JYX-julkaisuarkisto / JYX Digital Archive
    Master's thesis
  4. 4
    Selecting the best model in regression analysis : application to the CALEX data

    Selecting the best model in regression analysis : application to the CALEX data by Kemikangas, Miia

    Published 2002
    Master's thesis
  5. 5
    Intelligent solutions for real-life data-driven applications

    Intelligent solutions for real-life data-driven applications by Ivannikova, Elena, kirjoittaja

    Published 2017
    Linkki verkkoaineistoon
    Doctoral dissertation
  6. 6
    Random projections for matrix decomposition and manifold learning

    Random projections for matrix decomposition and manifold learning by Aizenbud, Yariv, kirjoittaja

    Published 2019
    Linkki verkkoaineistoon
    Doctoral dissertation
  7. 7
    On the biased estimation in regression : studies on ridge-type estimation

    On the biased estimation in regression : studies on ridge-type estimation by Leskinen, Esko

    Published 1980
    Doctoral dissertation
  8. 8
    Advancing nanomaterials design using novel machine learning methods

    Advancing nanomaterials design using novel machine learning methods by Linja, Joakim, kirjoittaja

    Published 2023
    Linkki verkkoaineistoon
    Linkki verkkoaineistoon
    Doctoral dissertation
  9. 9
    Investor sentiment in the Nordic stock markets

    Investor sentiment in the Nordic stock markets by Shoaib, Gul

    Published 2019
    Get full text Get full text
    Master's thesis
  10. 10
    Comparison of three ordinal logistic regression methods for predicting person’s self-assessed health status with functional, haemodynamic covariates

    Comparison of three ordinal logistic regression methods for predicting person’s self-assessed health status with functional, haemodynamic covariates by Markkanen, Merri-Lotta

    Published 2023
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    Master's thesis
  11. 11
    Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism

    Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism by Aaltonen, Olli-Pekka

    Published 2016
    Get full text Get full text
    Master's thesis
  12. 12
    Intelligent solutions for real-life data-driven applications

    Intelligent solutions for real-life data-driven applications by Ivannikova, Elena, kirjoittaja

    Published 2017
    JYX-julkaisuarkisto / JYX Digital Archive
    Doctoral dissertation
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