134 search results - page 1 / 27 » Local Minimax Learning of Approximately Polynomial Functions |
DAGSTUHL
2006
13 years 6 months ago
2006
CVPR
2000
IEEE
14 years 7 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categor...
TIT
1998
13 years 5 months ago
1998
Abstract— The paper deals with estimating transfer functions of stable linear time-invariant systems under stochastic assumptions. We adopt a nonparametric minimax approach for m...