Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction Institutional Repository Document uri icon

abstract

  • The area of transfer learning comprises supervised machine learning methods that cope with the issue when the training and testing data have different input feature spaces or distributions. In this work, we propose a novel transfer learning algorithm called Renewing Iterative Self-labeling Domain Adaptation (Re-ISDA). In this work, we propose a novel transfer learning algorithm called Renewing Iterative Self-labeling Domain Adaptation (Re-ISDA).

author list (cited authors)

  • Chen, G., Zhou, Y. u., Zhang, X., & Tuo, R.

citation count

  • 0

complete list of authors

  • Chen, Gecheng||Zhou, Yu||Zhang, Xudong||Tuo, Rui

Book Title

  • arXiv

publication date

  • November 2022