In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
In this paper, we propose a computational scheme named an interval-based linear hybrid dynamical system (ILHDS) to represent complex dynamic events based on temporal intervals, ea...
Building realistic Internet topologies is an important step towards predicting the behavior of new distributed applications and protocols. We are creating topologies that predict ...
Port automata are an operational model for component connectors in a coordination language such as Reo. They describe which sets of ports can synchronize in each state of the conn...
Mining graph databases for frequent subgraphs has recently developed into an area of intensive research. Its main goals are to reduce the execution time of the existing basic algo...