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NIPS
2004
13 years 8 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
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...
Pradeep Shenoy, Rajesh P. N. Rao
AUTOMATICA
2007
70views more  AUTOMATICA 2007»
13 years 7 months ago
Squaring the circle: An algorithm for generating polyhedral invariant sets from ellipsoidal ones
This paper presents a new (geometrical) approach to the computation of polyhedral (robustly) positively invariant (PI) sets for general (possibly discontinuous) nonlinear discrete...
A. Alessio, Mircea Lazar, Alberto Bemporad, W. P. ...
AUTOMATICA
2008
108views more  AUTOMATICA 2008»
13 years 7 months ago
Closed-loop identification of multivariable systems: With or without excitation of all references?
The accuracy of plant parameters estimated in closed-loop operation is investigated for a class of multivariable systems and for the situation where only some of the reference inp...
Ljubisa Miskovic, Alireza Karimi, Dominique Bonvin...
JOCN
2010
60views more  JOCN 2010»
13 years 5 months ago
Responding with Restraint: What Are the Neurocognitive Mechanisms?
■ An important aspect of cognitive control is the ability to respond with restraint. Here, we modeled this experimentally by measuring the degree of response slowing that occurs...
Sara Jahfari, Cathy M. Stinear, Mike Claffey, Fred...
FLAIRS
2009
13 years 5 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar