Structured sparsity with convex penalty functions

We study the problem of learning a sparse linear regression vector under additional conditions on the structure of its sparsity pattern. This problem is relevant in Machine Learning, Statistics and Signal Processing. It is well known that a linear regression can benefit from knowledge that the under...

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Bibliographic Details
Main Author: Morales, J. M.
Published: University College London (University of London) 2012
Subjects:
004
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.565716