765 search results - page 9 / 153 » Learning from Multiple Annotators with Gaussian Processes |
ACL
2010
13 years 4 months ago
2010
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
IROS
2008
IEEE
14 years 1 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...
ESSMAC
2003
Springer
13 years 12 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...
UAI
2000
13 years 8 months ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
LREC
2008
13 years 8 months ago
2008
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...