12 search results - page 2 / 3 » Regression based D-optimality experimental design for sparse... |
AAAI
2010
13 years 6 months ago
2010
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Robust regression techniques are used today in many computer vision algorithms. Chen and Meer recently presented a new robust regression technique named the projection based M-est...
ESANN
2004
13 years 7 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
VLDB
2005
ACM
14 years 6 months ago
2005
ACM
Estimating the selectivity of multidimensional range queries over real valued attributes has significant applications in data exploration and database query optimization. In this p...