To improve the performance and wellbeing of humans in complex human-computer interaction settings, an interesting challenge for an ambient (or pervasive) agent system is to recogni...
We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each i...
In this paper we propose a generic methodology for the automated generation of fuzzy models. The methodology is realized in three stages. Initially, a crisp model is created and i...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
Several different kinds of performance models can be generated from sets of scenarios that describe typical responses of a system, and their use of resources. The Core Scenario Mod...
In current model-based development practice, validation that we are building a correct model is achieved by manually deriving requirements-based test cases for model testing. Mode...
Ajitha Rajan, Michael W. Whalen, Mats Per Erik Hei...