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Ушбу иш иқтибос қилган ишлар

74 та иш

Иш: Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis

  1. Ridge Regression: Biased Estimation for Nonorthogonal Problems

    Arthur E. Hoerl, Robert W. Kennard

    Мақола19704 иқтибос
    ABI
  2. FSRF:An Improved Random Forest for Classification

    Wenxian Feng, Chenkai Ma, Guozhang Zhao +1

    Мақола20204 иқтибос
    ABI
  3. Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality

    Kai Qi, Hu Yang

    Мақола20214 иқтибос
    ABI
  4. Linear regression

    Thomas M.H. Hope

    Боб20194 иқтибос
    ABI
  5. Current State of Application of Machine Learning for Investigation of MgO-C Refractories: A Review

    Sebastian Sado, Ilona Jastrzębska, W Zelik +1

    Шарҳ мақола20234 иқтибос
    ABI
  6. A tutorial on support vector regression

    Alex Smola, Bernhard Schölkopf

    Мақола20043 иқтибос
    ABI
  7. A comparative analysis on linear regression and support vector regression

    S. Kavitha, S. Varuna, R. Ramya

    Мақола20163 иқтибос
    ABI
  8. K-Nearest Neighbors

    Oliver Krämer

    Боб20133 иқтибос
    ABI
  9. A Critique of Some Ridge Regression Methods

    Gary Smith, Frank W. Campbell

    Мақола19803 иқтибос
    ABI
  10. The Generalized LASSO

    Volker Röth

    Мақола20043 иқтибос
    ABI
  11. Ridge Regression: A Historical Context

    Roger W. Hoerl

    Мақола20203 иқтибос
    ABI
  12. Treatment and Prevention of Stuck Pipe Based on Artificial Neural Networks Analysis

    Qi Zhu

    Мақола20223 иқтибос
    ABI
  13. Prediction of heating and cooling loads based on light gradient boosting machine algorithms

    Jiaxin Guo, Sining Yun, Yao Meng +5

    Мақола20233 иқтибос
    ABI