: The capability to easily find useful services becomes increasingly critical in several fields. In this paper we argue that, in many situations, the service discovery process shou...
Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The fa...
This paper investigates the combination of word-alignments computed with the competitive linking algorithm and well-established IBM models. New training methods for phrase-based st...
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Given a set of real-time tasks scheduled using the earliest deadline first (EDF) algorithm, we discuss two techniques for reducing power consumption while meeting all timing requi...