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TIT
2008
102views more  TIT 2008»
13 years 4 months ago
State Estimation With Initial State Uncertainty
Abstract--The problem of state estimation with initial state uncertainty is approached from a statistical decision theory point of view. The initial state is regarded as determinis...
Yoav Levinbook, Tan F. Wong
ISRR
2001
Springer
109views Robotics» more  ISRR 2001»
13 years 9 months ago
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Alvaro Soto, Pradeep K. Khosla
AUTOMATICA
2004
112views more  AUTOMATICA 2004»
13 years 4 months ago
Ellipsoidal parameter or state estimation under model uncertainty
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
Boris T. Polyak, Sergey A. Nazin, Cécile Du...
TSP
2008
80views more  TSP 2008»
13 years 4 months ago
An EM Algorithm for Nonlinear State Estimation With Model Uncertainties
Amin Zia, Thiagalingam Kirubarajan, James P. Reill...
NECO
2010
103views more  NECO 2010»
13 years 3 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...