: Web applications have evolved from simple read-only websites to complex data- and operation-intensive systems. The main goal of this kind of application is to provide the users w...
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
Abstract. In this paper we investigate the transformation of OWL-S process models to ISPL - the system description language for MCMAS, a symbolic model checker for multi agent syst...
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
Our experiments in TRECVID 2007 include participation in the high-level feature extraction, search, and video summarization tasks, using a common system framework based on multipl...