Abstract. Incremental workflow mining is a technique for automatically deriving a process model from the on-going executions of a process. This way, the process model becomes more ...
Recently, we introduced the concept of an operating guideline of a service as a structure that characterizes all its properly interacting partner services. The hitherto considered ...
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
The stochastic root-finding problem (SRFP) is that of solving a system of q equations in q unknowns using only an oracle that provides estimates of the function values. This paper...
This paper focuses on the differences between monofractal and multifractal network traffic, both in terms of modeling approaches, and in terms of practical impacts on network perf...