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42 ta ish

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

  1. Random Forests

    Leo Breiman

    Maqola200167 iqtibos
    ABI
  2. Greedy function approximation: A gradient boosting machine.

    Jerome H. Friedman

    Maqola20016 iqtibos
    ABI
  3. Extremely randomized trees

    Pierre Geurts, Damien Ernst, Louis Wehenkel

    Maqola20066 iqtibos
    ABI
  4. Gradient boosting machines, a tutorial

    Alexey Natekin, Alois Knoll

    Maqola20136 iqtibos
    ABI
  5. Random Forests

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

    Bob20126 iqtibos
    ABI
  6. RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY

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

    Maqola20075 iqtibos
    ABI
  7. Random Forest: A Review

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

    Sharh maqola20173 iqtibos
    ABI
  8. The solubility of paclitaxel in supercritical CO2 and N2O

    V. Vandana, Amyn S. Teja

    Maqola19972 iqtibos
    ABI
  9. Gradient-Based Optimization of Hyperparameters

    Yoshua Bengio

    Maqola20002 iqtibos
    ABI