24 search results - page 1 / 5 » Robust weighted LAD regression |
CSDA
2006
13 years 5 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
12 years 8 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
13 years 5 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
13 years 6 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
14 years 5 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...