1900 search results - page 8 / 380 » Gaussian Processes for Machine Learning |
JMLR
2002
13 years 7 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
ESSMAC
2003
Springer
14 years 25 days ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...