Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
We view OWL instance data evaluation as a process in which instance data is checked for conformance with application requirements. We previously identified some integrity issues ra...
Abstract— This paper deals with dynamic scheduling in realtime systems that have Quality of Service requirements. We assume that tasks are periodic and may miss their deadlines, ...
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...