922 search results - page 13 / 185 » Learning Gaussian Process Models from Uncertain Data |
132
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
143
Voted
ESSMAC
2003
Springer
15 years 8 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
111
Voted
ICPR
2010
IEEE
15 years 9 months ago
2010
IEEE
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
123
Voted
FLAIRS
2007
15 years 5 months ago
2007
CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly ...