iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
UN/CEFACT’s Modeling Methodology (UMM) is a UML profile for modeling global B2B choreographies. The basic building blocks of UMM are business transactions, which describe the e...
Birgit Hofreiter, Christian Huemer, Philipp Liegl,...
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
While previous research has provided a great deal of information on individual factors that play a role in IT implementation success, a gap in the research exists when it comes to...
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...