When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
The Steel Mill Slab Problem is an optimization benchmark that has been studied for a long time in the constraint-programming community but was only solved efficiently in the two l...
Pierre Schaus, Pascal Van Hentenryck, Jean-Noë...
—In this paper, we address the spectrum portfolio optimization (SPO) question in the context of secondary spectrum markets, where bandwidth (spectrum access rights) can be bought...
Abstract The G12 project is developing a software environment for stating and solving combinatorial problems by mapping a high-level model of the problem to an efficient combinatio...
Jakob Puchinger, Peter J. Stuckey, Mark G. Wallace...