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ESANN
2008
15 years 8 months ago
Comparison of sparse least squares support vector regressors trained in primal and dual
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...
Shigeo Abe
VAMOS
2010
Springer
15 years 8 months ago
Supporting Stepwise, Incremental Product Derivation in Product Line Requirements Engineering
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...
Reinhard Stoiber, Martin Glinz
ICWS
2007
IEEE
15 years 8 months ago
A Semantic Web Services-based Infrastructure for Context-Adaptive Process Support
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...
Stefan Dietze, Alessio Gugliotta, John Domingue
IM
2007
15 years 8 months ago
A decision support tool to optimize scheduling of IT changes
— 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...
Rodrigo Rebouças, Jacques Philippe Sauv&eac...
NIPS
2008
15 years 8 months ago
High-dimensional support union recovery in multivariate regression
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...