Abstract. This paper proposes an architecture that combines a contextswitching virtual configware/software SAT solver with an embedded processor to promote a tighter coupling betwe...
C. J. Tavares, C. Bungardean, G. M. Matos, Jos&eac...
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Abstract. Adhesive high-level replacement (HLR) categories and systems are introduced as a new categorical framework for graph transformation in a broad sense, which combines the w...
Hartmut Ehrig, Annegret Habel, Julia Padberg, Ulri...
In this work we introduce event-driven grammars, a kind of graph grammars that are especially suited for visual modelling environments generated by meta-modelling. Rules in these g...
Abstract: Recently, Distributed Hash Tables evolved to a preferred approach for decentralized data management in widely distributed systems. Due to their crucial characteristics ...
Tobias Heer, Heiko Niedermayer, Leo Petrak, Simon ...