Traffic Flow Management (TFM) actions are commonly used to mitigate capacity/demand imbalances within the National Airspace System (NAS). Modeling TFM events has proven challengin...
Biochemical signal-transduction networks are the biological information-processing systems by which individual cells, from neurons to amoebae, perceive and respond to their chemic...
Peter J. Thomas, Donald J. Spencer, Sierra K. Hamp...
An increasing number of applications are being developed using distributed object computing middleware, such as CORBA. Many of these applications require the underlying middleware...
Balachandran Natarajan, Aniruddha S. Gokhale, Shal...
The concept of context-dependent access control has emerged during the last years: Information about the state of a process model of a working environment is combined with general ...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...