9 search results - page 2 / 2 » Robust Regression with Asymmetric Heavy-Tail Noise Distribut... |
NIPS
2007
13 years 7 months ago
2007
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
JMLR
2010
13 years 24 days ago
2010
Estimating the conditional mean of an inputoutput relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution ...
NIPS
2001
13 years 7 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...