Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
This work presents an application case study. Geant4 is a 750,000 line toolkit first designed in the mid-1990s and originally intended only for sequential computation. Intel's...
While a grid represents a computing infrastructure for cross domain sharing of computational resources, the cyberinfrastructure, proposed by the US NSF Blue – Ribbon advisory pa...
Jie Yin, Junwei Cao, Yuexuan Wang, Lianchen Liu, C...
This paper presents a novel processing scheme for the automatic computation of a medial shape model which is representative for an object population with shape variability. The se...
Abstract. Recent research efforts in the fields of data stream processing and data stream management systems (DSMSs) show the increasing importance of processing data streams, e. g...