765 search results - page 7 / 153 » Learning from Multiple Annotators with Gaussian Processes |
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
ATAL
2007
Springer
13 years 10 months ago
2007
Springer
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
MIR
2005
ACM
14 years 8 days ago
2005
ACM
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
AROBOTS
2011
13 years 1 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...