27 search results - page 3 / 6 » Model Selection Under Covariate Shift |
CSDA
2006
13 years 6 months ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
TSP
2010
13 years 1 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
ACMSE
2008
ACM
13 years 8 months ago
2008
ACM
Indirection exists between the virtual objects that form the computer interface and the input devices through which the user interacts to manipulate these objects. This paper stud...