We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
In this paper, we describe our work in progress in the scope of information retrieval exploiting the spatial data extracted from web documents. We discuss problems of a search for ...
Stefan Dlugolinsky, Michal Laclavik, Ladislav Hluc...
Background: A reliable extraction technique for resolving multiple spots in light or electron microscopic images is essential in investigations of the spatial distribution and dyn...
Leakage power reduction in cache memories continues to be a critical area of research because of the promise of a significant pay-off. Various techniques have been developed so fa...
In recent years, we have seen a dramatic increase in the use of data-centric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and vari...