During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Embedded control systems are often implemented in small microprocessors enabled with real-time technology. In this context, control laws are often designed according to discrete-ti...
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
Abstract--Intermittently connected mobile networks are wireless networks where most of the time there does not exist a complete path from the source to the destination. There are m...
We discuss a solution to the winner determination problem which takes into account not only costs but also risk aversion of the agent that accepts the bids. We are interested in b...