Published 2011
| Version v1
Publication
A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization.
Description
In the framework of supervised learning we prove that the iterative algorithm introduced in Umanità and Villa (2010) allows to estimate in a consistent way the relevant features of the regression function under the a priori assumption that it admits a sparse representation.
Additional details
- URL
- http://hdl.handle.net/11567/277329
- URN
- urn:oai:iris.unige.it:11567/277329
- Origin repository
- UNIGE