94 search results - page 18 / 19 » Variable Sparsity Kernel Learning |
ACML
2009
Springer
14 years 1 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
IDA
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
NIPS
2007
13 years 8 months ago
2007
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...