Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...
The parameters in these software reliability models are usually directly obtained from the field failure data. Due to the dynamic properties of the system and the insufficiency of...
Jung-Hua Lo, Chin-Yu Huang, Sy-Yen Kuo, Michael R....
Power management is critical to power-constrained real-time systems. In this paper, we present a dynamic power management algorithm for real-time heterogeneous systems. Unlike oth...