Mixed-Effects Modeling of Optimisation Algorithm Performance

نویسندگان

  • Matteo Gagliolo
  • Catherine Legrand
  • Mauro Birattari
چکیده

The learning curves of optimisation algorithms, plotting the evolution of the objective vs. runtime spent. can be viewed as a sample of longitudinal data. In this paper we describe mixed-effects modeling, a standard technique in longitudinal data analysis, and give an example of its application to algorithm performance modeling.

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تاریخ انتشار 2009