693 search results - page 71 / 139 » Estimation in covariate-adjusted regression |
CORR
2010
Springer
14 years 10 months ago
2010
Springer
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
IJCV
2000
14 years 9 months ago
2000
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
MA
2010
Springer
14 years 8 months ago
2010
Springer
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
ESANN
2003
14 years 11 months ago
2003
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
ICMCS
2010
IEEE
14 years 10 months ago
2010
IEEE
Speech processing is an important aspect of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, nu...