288 search results - page 21 / 58 » Robust Regression and Lasso |
CSDA
2007
13 years 8 months ago
2007
A common problem in linear regression is that largely aberrant values can strongly influence the results. The least quartile difference (LQD) regression estimator is highly robus...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
This paper reports a cross-benchmark evaluation of regularized logistic regression (LR) and incremental Rocchio for adaptive filtering. Using four corpora from the Topic Detection...
ICASSP
2011
IEEE
12 years 11 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....
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise an...