98 search results - page 16 / 20 » Adaptively Learning the Crowd Kernel |
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
BMCBI
2011
13 years 3 months ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
DAGM
2009
Springer
14 years 3 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
ECAI
2010
Springer
13 years 9 months ago
2010
Springer
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
ACCV
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...