200 search results - page 1 / 40 » Approximating Gaussian Processes with H2-Matrices |
ECML
2007
Springer
13 years 6 months ago
2007
Springer
IROS
2007
IEEE
13 years 10 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
ICANN
2011
Springer
12 years 8 months ago
2011
Springer
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...