In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
Deriving products from a software product line is difficult, particularly when there are many constraints in the variability of the product line. Understanding the impact of variab...
Current technologies aimed at supporting processes – whether it is a business or learning process – primarily follow a metadata- and data-centric paradigm. Whereas process met...
— Change management is one of the most critical processes in IT management. Some of the reasons are the sheer number of changes and the difficulty of evaluating the impact of cha...
We study the behavior of block 1/ 2 regularization for multivariate regression, where a K-dimensional response vector is regressed upon a fixed set of p covariates. The problem of...
Guillaume Obozinski, Martin J. Wainwright, Michael...