Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Abstract In this paper we present a new character animation technique in which the animation adapts itself based on the change in the user's perspective, i.e., when the user m...
Parag Chaudhuri, George Papagiannakis, Nadia Magne...
Abstract. We develop duality-based a posteriori error estimates for functional outputs of solutions of free-boundary problems via shape-linearization principles. To derive an appro...
K. G. van der Zee, E. H. van Brummelen, R. de Bors...
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
The effort and time required to develop user interface models has been one of the main limitations to the adoption of model-based approaches, which enable intelligent processing o...
Federico Bellucci, Giuseppe Ghiani, Fabio Patern&o...