24 search results - page 1 / 5 » Robust weighted LAD regression |
CSDA
2006
14 years 9 months ago
2006
The least squares linear regression estimator is well-known to be highly sensitive to unusual observations in the data, and as a result many more robust estimators have been propo...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker adaptation technique in which an affine transform of the features is estimated for each speaker....
CSSC
2008
14 years 9 months ago
2008
This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different w...
NIPS
2007
14 years 11 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...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...