A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Active applications can add value to communication. Yet it involves sophisticated domain knowledge and complex development process. In this paper we discuss a framework for the co...
Abstract. Hybrid or multiphysics algorithms provide an efficient computational tool for combining micro- and macroscale descriptions of physical phenomena. Their use becomes impera...
Alexandre M. Tartakovsky, Daniel M. Tartakovsky, T...
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Breadth and depth complexity are key challenges in achieving business process fusion as the enabler for value configuration design. The PARM framework is proposed as the requiremen...