1900 search results - page 59 / 380 » Gaussian Processes in Machine Learning |
COLT
2005
Springer
14 years 2 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
ICALT
2008
IEEE
14 years 3 months ago
2008
IEEE
Standardisation of learning technologies as a coordinated design activity needs legitimacy to attract the necessary support from its stakeholders. This paper identifies the need f...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
HUMO
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...