Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
—In the paper, we study the wavelength assignment problem in waveband switching (WBS) networks, which is composed of multi-granular optical cross-connect (MG-OXCs) interconnected...
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
The end-to-end characteristic is an important factor for QoS support. Since network users and their required bandwidths for applications increase, the efficient usage of networks h...