The goal of this paper is to present a computational framework that enables us to generate elementary speech act sequences in a dialogue between an electronic assistant and a compu...
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
We present an approach towards a formal dynamic semantics for UML using ASM. We aim to remain as close as possible to the standard definition of UML and to cover the operational pa...
Effective human teams often benefit from proactivity through members’ capability of anticipating different needs of teammates. In this paper, we focus on three issues related...
John Yen, Xiaocong Fan, Shuang Sun, Rui Wang, Cong...
We describe novel approaches to multimedia analysis and synthesis problems. We first present the experiential sampling technique which has the ability to focus on the analysis task...