- Multi task learning
- different but related tasks will improve the learning results
- typical approach: hierarchical baysian model...
- in this paper gausian models are used and two task have a shared component to transfer information
- fMRI dataset used for the evaluation
- Question
- Correlation between task is learnt...
- definition of the term: multi learning
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%0 Conference Paper
%1 leen2011focused
%A Leen, Gayle
%A Peltonen, Jaakko
%A Kaski, Samuel
%B Proceedings of the ECML/PKDD 2011
%D 2011
%K
%T Focused Multi-task Learning Using Gaussian Processes
@inproceedings{leen2011focused,
added-at = {2011-09-06T10:26:31.000+0200},
author = {Leen, Gayle and Peltonen, Jaakko and Kaski, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/21257c060cd9421aa8d8e698a3d816c9d/hotho},
booktitle = {Proceedings of the ECML/PKDD 2011},
interhash = {b828d819f63597dfef06ceb941cb81fb},
intrahash = {1257c060cd9421aa8d8e698a3d816c9d},
keywords = {},
timestamp = {2011-09-22T11:56:28.000+0200},
title = {Focused Multi-task Learning Using Gaussian Processes},
year = 2011
}