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42 та иш

Иш: Raloxifene solubility in supercritical CO2 and correlation of drug solubility via hybrid machine learning and gradient based optimization

  1. Random Forests

    Leo Breiman

    Мақола200167 иқтибос
    ABI
  2. Greedy function approximation: A gradient boosting machine.

    Jerome H. Friedman

    Мақола20016 иқтибос
    ABI
  3. Extremely randomized trees

    Pierre Geurts, Damien Ernst, Louis Wehenkel

    Мақола20066 иқтибос
    ABI
  4. Gradient boosting machines, a tutorial

    Alexey Natekin, Alois Knoll

    Мақола20136 иқтибос
    ABI
  5. Random Forests

    Adele Cutler, D. Richard Cutler, John R. Stevens

    Боб20126 иқтибос
    ABI
  6. RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY

    D. Richard Cutler, Thomas C. Edwards, Karen H. Beard +4

    Мақола20075 иқтибос
    ABI
  7. Random Forest: A Review

    Computer Science & Engineering &GZSCCET Bhatinda, Punjab, India, Eesha Goel, Er. Abhilasha +1

    Шарҳ мақола20173 иқтибос
    ABI
  8. The solubility of paclitaxel in supercritical CO2 and N2O

    V. Vandana, Amyn S. Teja

    Мақола19972 иқтибос
    ABI
  9. Gradient-Based Optimization of Hyperparameters

    Yoshua Bengio

    Мақола20002 иқтибос
    ABI