Combining model-agnostic meta-learning and transfer learning for regression

HIGHLIGHTS

• who: Wahyu Fadli Satrya and Ji-Hoon Yun from the Computer Science Department, BINUS Online Learning, Bina Nusantara University, West Jakarta, Jakarta, Indonesia have published the Article: Combining Model-Agnostic Meta-Learning and Transfer Learning for Regression, in the Journal: Sensors 2023, 23, 583. of /2023/
• what: The authors investigate how the differences in the data distributions between the old tasks and the new target task impact performance in regression problems. Observation the authors develop ensemble schemes combining multiple adaptation methods that can handle a wide range of data distribution differences between the old and . . .
  

   

  

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