An introduction to domain adaptation and transfer learning
In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …
then the learned classification function will make accurate predictions for new samples …
An introduction to domain adaptation and transfer learning
WM Kouw, M Loog - 2018 - research.tue.nl
In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …
then the learned classification function will make accurate predictions for new samples …
An introduction to domain adaptation and transfer learning
WM Kouw, M Loog - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …
then the learned classification function will make accurate predictions for new samples …
[PDF][PDF] An introduction to domain adaptation and transfer learning
WM Kouw, M Loog - researchgate.net
In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …
then the learned classification function will make accurate predictions for new samples …
[PDF][PDF] An introduction to domain adaptation and transfer learning
WM Kouw, M Loog - researchgate.net
In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …
then the learned classification function will make accurate predictions for new samples …