We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
The management of knowledge, i.e. knowing what is known and the ability to exploit it is a burning issue for most organizations. Though knowledge management has a strong social pe...
Markus Zanker, Sergiu Gordea, Marius-Calin Silaghi
Abstract We consider the problem of maximizing throughput in a multi-carrier wireless network that employs predictive link adaptation. We explicitly consider the time-penalty incur...
Background: Propositional representations of biomedical knowledge are a critical component of most aspects of semantic mining in biomedicine. However, the proper set of propositio...
In this paper, for the purpose of saving network resources, we first introduce and investigate a new problem referred to as the least hop(s) multiple additively constrained path (...