Title: Linear regression using costly features
Authors: Goetschalckx, Robby
Sanner, Scott
Driessens, Kurt #
Issue Date: 2008
Host Document: Proceedings of the annual belgian-dutch machine learning conference (Benelearn) 2008 pages:51-52
Conference: benelearn location:Spa, Belgium date:2008
Abstract: In this paper we consider the problem of linear regression where some features might only be observable at a certain cost. We assume that this cost can be expressed in the same units and thus be compared to the approximation error cost. The learning task becomes a search for the features that contain enough information to warrant their cost.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section
# (joint) last author

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