Now showing items 1-3 of 3

    • Efficient selection of disambiguating actions for stereo vision 

      Schaeffer, M; Parr, R (Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006, 2006-12-01)
      In many domains that involve the use of sensors, such as robotics or sensor networks, there are opportunities to use some form of active sensing to disambiguate data from noisy or unreliable sensors. These disambiguating ...
    • Non-parametric approximate linear programming for MDPs 

      Pazis, J; Parr, R (Proceedings of the National Conference on Artificial Intelligence, 2011-11-02)
      The Approximate Linear Programming (ALP) approach to value function approximation for MDPs is a parametric value function approximation method, in that it represents the value function as a linear combination of features ...
    • Uncertainty propagation through software dependability models 

      Mishra, K; Trivedi, KS (Proceedings - International Symposium on Software Reliability Engineering, ISSRE, 2011-12-01)
      Stochastic models are often employed to study dependability of critical systems and assess various hardware and software fault-tolerance techniques. These models take into account the randomness in the events of interest ...