How do multiple kernel functions in machine learning algorithms improve precision in flood probability mapping?

HIGHLIGHTS

• who: mfz.rahman@iubat.edu from the Institute of Mountain Hazards and Environment Chinese Academy of Sciences https://orcidorg/00000002-8454- X International University of Business Agriculture and Technology (IMHE), Chinese Academy of Sciences (CAS), Chengdu, China have published the paper: How Do Multiple Kernel Functions in Machine Learning Algorithms Improve Precision in Flood Probability Mapping?, in the Journal: (JOURNAL)
• what: This study investigates the potential of multiple kernel functions in machine_learning algorithms to improve precision in flood probability mapping at a basin scale.
• how: Showed that the SVM-Pearson VII kernel (PUK . . .
  

   

  

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