1601 search results - page 13 / 321 » Learning Gaussian processes from multiple tasks |
134
Voted
IROS
2008
IEEE
15 years 10 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...
170
Voted
ESSMAC
2003
Springer
15 years 9 months 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...
129
Voted
JMLR
2002
15 years 3 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
117
Voted
FLAIRS
2006
15 years 5 months ago
2006
Learning tasks from a single demonstration presents a significant challenge because the observed sequence is inherently an incomplete representation of the procedure that is speci...
132
Voted
ICRA
2009
IEEE
15 years 10 months ago
2009
IEEE
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...