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DSMML
2004
Springer
15 years 11 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
IJCNN
2000
IEEE
15 years 10 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 7 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
CORR
2006
Springer
90views Education» more  CORR 2006»
15 years 5 months ago
The recognizability of sets of graphs is a robust property
Once the set of finite graphs is equipped with an algebra structure (arising from the definition of operations that generalize the concatenation of words), one can define the noti...
Bruno Courcelle, Pascal Weil
PAMI
2006
107views more  PAMI 2006»
15 years 5 months ago
Robust Pose Estimation from a Planar Target
In theory, the pose of a calibrated camera can be uniquely determined from a minimum of four coplanar but noncollinear points. In practice, there are many applications of camera po...
Gerald Schweighofer, Axel Pinz