22 search results - page 1 / 5 » An Empirical Study of a Linear Regression Combiner on Multi-... |
MCS
2009
Springer
13 years 9 months ago
2009
Springer
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
ICONIP
2008
13 years 6 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
SDM
2011
SIAM
12 years 7 months ago
2011
SIAM
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...