288 search results - page 20 / 58 » Robust Regression and Lasso |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
CSDA
2010
13 years 8 months ago
2010
We consider switching regression models with independent or Markov-dependent regime. Based on the modified likelihood ratio test (LRT) statistic by Chen, Chen and Kalbfleisch (200...
DATAMINE
2006
13 years 8 months ago
2006
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
SMA
2008
ACM
13 years 7 months ago
2008
ACM
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
BMCBI
2011
12 years 11 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...