We study the consistency problem for extended global cardinality (EGC) constraints. An EGC constraint consists of a set X of variables, a set D of values, a domain D(x) D for eac...
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
In silico (on the computer) oncology is a multi-disciplinary field that focuses on the examination and modeling of biological mechanisms related to the phenomenon of cancer. In si...
Theodoros E. Athanaileas, Georgios S. Stamatakos, ...
For the evaluation of ad hoc network protocols, researchers traditionally use simulations because they easily allow for a large number of nodes and reproducible environment condit...
Elmar Schoch, Michael Feiri, Frank Kargl, Michael ...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...