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Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction
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.
Projection Pursuit Gaussian Process Regression
We show that dimension expansion can help approximate more complex functions.
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