122 search results - page 23 / 25 » Nonstationary Covariance Functions for Gaussian Process Regr... |
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
WCE
2007
13 years 8 months ago
2007
— This paper presents the initial results of a study aimed at improving the method by which the vibrations produced by transport vehicles are characterised and simulated. More sp...
QRE
2008
13 years 6 months ago
2008
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...