A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes

HIGHLIGHTS

• What: The authors extend on the previous work and evaluated the impact of in the quality of solutions. 4.2 Experimental setup For the implementation of the experiments, the authors used GeneticEngine , a Python GGGP framework that supports the three GGGP approaches presented in Sect 2. The authors evaluate the impact of different initialization methods (Sect 5.4). In Tables 3 and 4 the authors compare the results of the train and test results, respectively, for each patient.
• Who: Leon Ingelse from the A lesson for practitioners is to consider whether deep trees are wanted . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.