We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
This work considers the problem of control of nonlinear process systems subject to input constraints and actuator faults. Faults are considered that preclude the possibility of con...
Technology innovations continue to be one of the greatest drivers of economic growth. Realizing the value of such innovations, however, requires substantial follow-on investments ...
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
The event-condition-action paradigm (also known as triggers or ECA rules) gives a database “active” capabilities – the ability to react automatically to changes in the databa...