Shuffled Linear Regression with Erroneous Observations
Linear regression with shuffled labels is the problem of performing a linear regression fit on datasets whose labels are unknowingly shuffled with respect to their inputs. Such a problem relates to different applications such as genome sequence assembly, sampling and reconstruction of spatial fields...
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| Format: | conferenceObject |
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2019
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| Online Access: | http://hdl.handle.net/10725/11137 http://dx.doi.org/10.1109/CISS.2019.8692838 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8692838 |
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